Prof. Ofer Hadar Profile

Prof. Ofer Hadar

Chairman at Ben-Gurion Univ. of the Negev

SPIE Involvement:

Conference Program Committee | Author

Publications (68)

Proceedings Article | 17 October 2023 Presentation + Paper

Deep-learning-based image super-resolution for enhanced root hair visualization and root traits analysis

Divya Mishra, Sharon Chemweno, Ofer Hadar, Naftali Lazarovitch, Jonathan Ephrath

Proceedings Volume 12727, 1272711 (2023) https://doi.org/10.1117/12.2687786

KEYWORDS: Super resolution, Image enhancement, Image quality, Visualization, Intelligence systems, Image visualization, Magnetic resonance imaging, Lawrencium, Image analysis, Agriculture

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Proceedings Article | 4 October 2023 Paper

JPEG frequency domain-based image steganography using iterative prediction and decision rules to improved data integration

Ron Shmueli, Divya Mishra, Amit Shmueli, Ofer Hadar

Proceedings Volume 12674, 126740S (2023) https://doi.org/10.1117/12.2688054

KEYWORDS: Histograms, Image compression, Steganography, Image quality, Distortion, Visualization, Data hiding, Image processing, Quantization, Cameras

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Proceedings Article | 28 October 2022 Presentation + Paper

Using non-linear activation functions to increase robustness of AI models to adversarial attacks

Itai Dror, Raz Birman, Aviram Lachmani, David Shmailov, Ofer Hadar

Proceedings Volume 12275, 122750I (2022) https://doi.org/10.1117/12.2638358

KEYWORDS: Artificial intelligence, Image classification, Defense and security, Machine learning, Image processing

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Proceedings Article | 3 October 2022 Paper

Multiple image super-resolution from the BGU SWIR CubeSat satellite

Itai Dror, Divya Mishra, Ron Shmueli, Dan Blumberg, Shimrit Maman, Daniel Choukroun, Ofer Hadar

Proceedings Volume 12226, 122260I (2022) https://doi.org/10.1117/12.2633778

KEYWORDS: Satellites, Image quality, Super resolution, Satellite imaging, Image fusion, Short wave infrared radiation, Lawrencium, Image registration, Earth observing sensors, Remote sensing

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Proceedings Article | 1 August 2021 Presentation + Paper

Content adaptive video compression for autonomous vehicle remote driving

Itai Dror, Raz Birman, Oren Solomon, Tomer Zehavi, Lior Taib, Amit Doran, Roee Ezra, Noui Rengenzad, Ofer Hadar

Proceedings Volume 11842, 118420Q (2021) https://doi.org/10.1117/12.2595863

KEYWORDS: Video compression, Video, Image compression, Roads, Image segmentation, Unmanned vehicles, Video coding, Computer programming, Sensors, Vegetation

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SPIE Journal Paper | 25 June 2021 Open Access

Special Section Guest Editorial: Image and Video Compression Using Deep Neural Networks

Ofer Hadar, Touradj Ebrahimi

JEI, Vol. 30, Issue 04, 041401, (June 2021) https://doi.org/10.1117/12.10.1117/1.JEI.30.4.041401

KEYWORDS: Image compression, Video compression, Neural networks, Image quality, Standards development, Video, Head, Evolutionary algorithms, Scanning probe lithography, Multimedia signal processing

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Proceedings Article | 6 September 2019 Presentation + Paper

Propagation of quantization error in performing intra-prediction with deep learning

Raz Birman, Yoram Segal, Avishay David-Malka, Ofer Hadar, Ron Shmueli

Proceedings Volume 11137, 111370Z (2019) https://doi.org/10.1117/12.2530341

KEYWORDS: Quantization, Computer programming, Neural networks, Video compression, Video, Video coding, Spatial frequencies, Communication engineering, Yield improvement, Error analysis

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Proceedings Article | 6 September 2019 Presentation + Paper

Energy based image steganography using dynamic programming

Ron Shmueli, Tal Shmueli, Ofer Hadar

Proceedings Volume 11137, 111371R (2019) https://doi.org/10.1117/12.2530319

KEYWORDS: Steganography, Visualization, Image quality, Data hiding, RGB color model, Computer programming, Image processing, Signal to noise ratio

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Proceedings Article | 17 September 2018 Presentation + Paper

Intra prediction with deep learning

Raz Birman, Yoram Segal, Avishay David-Malka, Ofer Hadar

Proceedings Volume 10752, 1075214 (2018) https://doi.org/10.1117/12.2320551

KEYWORDS: Video compression, Neural networks, Video, Video coding, Neurons

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Proceedings Article | 19 September 2017 Presentation + Paper

Novel modes and adaptive block scanning order for intra prediction in AV1

Ofer Hadar, Ariel Shleifer, Debargha Mukherjee, Urvang Joshi, Itai Mazar, Michael Yuzvinsky, Nitzan Tavor, Nati Itzhak, Raz Birman

Proceedings Volume 10396, 103960G (2017) https://doi.org/10.1117/12.2274035

KEYWORDS: Video compression, Video, Video coding, Image transmission, Image compression, Multimedia

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The demand for streaming video content is on the rise and growing exponentially. Networks bandwidth is very costly and therefore there is a constant effort to improve video compression rates and enable the sending of reduced data volumes while retaining quality of experience (QoE). One basic feature that utilizes the spatial correlation of pixels for video compression is Intra-Prediction, which determines the codec’s compression efficiency. Intra prediction enables significant reduction of the Intra-Frame (I frame) size and, therefore, contributes to efficient exploitation of bandwidth. In this presentation, we propose new Intra-Prediction algorithms that improve the AV1 prediction model and provide better compression ratios. Two (2) types of methods are considered: )1( New scanning order method that maximizes spatial correlation in order to reduce prediction error; and )2( New Intra-Prediction modes implementation in AVI. Modern video coding standards, including AVI codec, utilize fixed scan orders in processing blocks during intra coding. The fixed scan orders typically result in residual blocks with high prediction error mainly in blocks with edges. This means that the fixed scan orders cannot fully exploit the content-adaptive spatial correlations between adjacent blocks, thus the bitrate after compression tends to be large. To reduce the bitrate induced by inaccurate intra prediction, the proposed approach adaptively chooses the scanning order of blocks according to criteria of firstly predicting blocks with maximum number of surrounding, already Inter-Predicted blocks. Using the modified scanning order method and the new modes has reduced the MSE by up to five (5) times when compared to conventional TM mode / Raster scan and up to two (2) times when compared to conventional CALIC mode / Raster scan, depending on the image characteristics (which determines the percentage of blocks predicted with Inter-Prediction, which in turn impacts the efficiency of the new scanning method). For the same cases, the PSNR was shown to improve by up to 7.4dB and up to 4 dB, respectively. The new modes have yielded 5% improvement in BD-Rate over traditionally used modes, when run on K-Frame, which is expected to yield ~1% of overall improvement.

Proceedings Article | 2 November 2016 Presentation

Application of phase stretch transform to plate license identification under blur and noise conditions (Conference Presentation)

Hossein Asghari, Ofer Hadar, Bahram Jalali

Proceedings Volume 9971, 997111 (2016) https://doi.org/10.1117/12.2237422

KEYWORDS: Detection and tracking algorithms, Edge detection, Image filtering, Nonlinear filtering, Spatial filters, Optical filters, Digital image processing, Current controlled current source

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Proceedings Article | 28 September 2016 Presentation + Paper

Prediction of visual saliency in video with deep CNNs

Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar

Proceedings Volume 9971, 99711Q (2016) https://doi.org/10.1117/12.2238956

KEYWORDS: Visualization, Video, Visual process modeling, Video compression, Motion models, Data modeling, RGB color model, Convolution, Eye, Databases

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Proceedings Article | 27 September 2016 Presentation + Paper

Novel intra prediction modes for VP10 codec

Ariel Shleifer, Chinmayi Lanka, Mohit Setia, Shubham Agarwal, Ofer Hadar, Debargha Mukherjee

Proceedings Volume 9971, 997114 (2016) https://doi.org/10.1117/12.2238140

KEYWORDS: Video compression, Video, Computer programming, Image compression, Error analysis, Cameras, Raster graphics, Quantization, Electrical engineering, Image restoration

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Proceedings Article | 22 September 2015 Paper

DCT-based cyber defense techniques

Yaron Amsalem, Anton Puzanov, Anton Bedinerman, Maxim Kutcher, Ofer Hadar

Proceedings Volume 9599, 95991F (2015) https://doi.org/10.1117/12.2187498

KEYWORDS: Defense and security, Video, Digital watermarking, Image quality, Multimedia, Steganography, Image compression, Video compression, Image enhancement, Social networks

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Proceedings Article | 22 September 2015 Paper

Restoration of hot pixels in digital imagers using lossless approximation techniques

O. Hadar, A. Shleifer, E. Cohen, Y. Dotan

Proceedings Volume 9599, 959931 (2015) https://doi.org/10.1117/12.2186101

KEYWORDS: Imaging systems, Image compression, Error analysis, Raster graphics, Cameras, Image quality, Image segmentation, Data communications, Communication engineering, Satellite imaging

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Proceedings Article | 23 September 2014 Paper

Correction of defective pixels for medical and space imagers based on Ising theory

Eliahu Cohen, Moriel Shnitser, Tsvika Avraham, Ofer Hadar

Proceedings Volume 9217, 921713 (2014) https://doi.org/10.1117/12.2061278

KEYWORDS: Imaging systems, Speckle, Systems modeling, Medical imaging, Image restoration, Particles, Digital filtering, Image processing, Image quality, Physics

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Proceedings Article | 23 September 2014 Paper

Comparative assessment of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders for low-delay video applications

Dan Grois, Detlev Marpe, Tung Nguyen, Ofer Hadar

Proceedings Volume 9217, 92170Q (2014) https://doi.org/10.1117/12.2073323

KEYWORDS: Computer programming, Video, Video coding, Video surveillance, Standards development, Video processing, Quantization, Internet, Tablets, Performance modeling

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Proceedings Article | 23 September 2014 Paper

Adaptive live IP multicast of SVC with unequal FEC

Avram Lev, Amir Lasry, Maoz Loants, Ofer Hadar

Proceedings Volume 9217, 92171Q (2014) https://doi.org/10.1117/12.2062815

KEYWORDS: Forward error correction, Video, Scalable video coding, Receivers, Video compression, Signal to noise ratio, Surface plasmons, Control systems, Quantization, Automatic repeat request

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Proceedings Article | 30 September 2013 Paper

Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences

Revital Huber-Shalem, Ofer Hadar, Stanley Rotman, Merav Huber-Lerner, Stanislav Evstigneev

Proceedings Volume 8857, 885707 (2013) https://doi.org/10.1117/12.2023681

KEYWORDS: Clouds, Target detection, Infrared imaging, Detection and tracking algorithms, Linear filtering, Infrared radiation, Infrared detectors, Image compression, Signal processing, Palladium

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SPIE Journal Paper | 15 July 2013 Open Access

Special Section Guest Editorial: Video Compression Technology

Dan Grois, Ofer Hadar

OE, Vol. 52, Issue 07, 071501, (July 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.7.071501

KEYWORDS: Video coding, Video, Video compression, Telecommunications, Internet, Optical engineering, Scalable video coding, Image processing, Communication engineering, Video processing

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Proceedings Article | 2 February 2012 Paper

Image and video restoration via Ising-like models

Eliahu Cohen, Ron Heiman, Ofer Hadar

Proceedings Volume 8295, 82950K (2012) https://doi.org/10.1117/12.908925

KEYWORDS: Image restoration, Video, Digital filtering, Systems modeling, Physics, Image quality, RGB color model, Image filtering, Statistical modeling, Image processing

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Proceedings Article | 25 January 2012 Paper

No-reference video quality assessment of H.264 video streams based on semantic saliency maps

H. Boujut, J. Benois-Pineau, T. Ahmed, O. Hadar, P. Bonnet

Proceedings Volume 8293, 82930T (2012) https://doi.org/10.1117/12.905379

KEYWORDS: Video, Visualization, Databases, Semantic video, Visual process modeling, Facial recognition systems, Molybdenum, Systems modeling, Sensors, Quality measurement

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Proceedings Article | 24 January 2011 Paper

Weighted-MSE based on saliency map for assessing video quality of H.264 video streams

H. Boujut, J. Benois-Pineau, O. Hadar, T. Ahmed, P. Bonnet

Proceedings Volume 7867, 78670X (2011) https://doi.org/10.1117/12.876471

KEYWORDS: Video, Visualization, Video compression, Motion estimation, Systems modeling, Computer programming, Information visualization, Quality measurement, Molybdenum, Machine learning

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Proceedings Article | 14 February 2008 Paper

The influence of image compression on target acquisition

O. Hadar, E. Goldberg, E. Topchik

Proceedings Volume 6806, 68060U (2008) https://doi.org/10.1117/12.767910

KEYWORDS: Image compression, Target acquisition, Thermography, Eye, Image quality, Target detection, JPEG2000, Multimedia, Modulation transfer functions, Chromium

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SPIE Journal Paper | 1 August 2006

Effects of compression parameters on the perceived quality of video stream over a lossy Internet protocol network

Ofer Hadar, Ron Shmueli, Revital Huber, Merav Huber

OE, Vol. 45, Issue 08, 087003, (August 2006) https://doi.org/10.1117/12.10.1117/1.2338591

KEYWORDS: Video, Video compression, Computer programming, Video coding, Optical engineering, Visualization, Image compression, Internet, Spatial resolution, Image quality

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SPIE Journal Paper | 1 February 2004

Quality measurements for compressed video transmitted over a lossy packet network

Ofer Hadar, Merav Huber, Revital Huber, Ron Shmueli

OE, Vol. 43, Issue 02, (February 2004) https://doi.org/10.1117/12.10.1117/1.1637902

KEYWORDS: Video, Quality measurement, Video compression, Distortion, Image quality, Optical engineering, Motion models, Image compression, Signal attenuation, Error analysis

SPIE Journal Paper | 1 November 2003

Image restoration from camera vibration and object motion blur in infrared staggered time-delay and integration systems

Sergey Raiter, Adrian Stern, Ofer Hadar, Norman Kopeika

OE, Vol. 42, Issue 11, (November 2003) https://doi.org/10.1117/12.10.1117/1.1612513

KEYWORDS: Cameras, Image restoration, Motion detection, Detection and tracking algorithms, Image quality, Thermography, Imaging systems, Optical engineering, Zoom lenses, Distortion

SPIE Journal Paper | 1 September 2003

Criteria for satellite image restoration success

Dan Arbel, Shlomo Greenberg, Ofer Hadar, Norman Kopeika

OE, Vol. 42, Issue 09, (September 2003) https://doi.org/10.1117/12.10.1117/1.1599360

KEYWORDS: Modulation transfer functions, Image restoration, Atmospheric particles, Filtering (signal processing), Aerosols, Satellite imaging, Satellites, Turbulence, Earth observing sensors, Atmospheric optics

SPIE Journal Paper | 1 December 2002

Influence of motion sensor error on image restoration from vibrations and motion

S. Raiter, Ofer Hadar, Norman Kopeika

OE, Vol. 41, Issue 12, (December 2002) https://doi.org/10.1117/12.10.1117/1.1517056

KEYWORDS: Modulation transfer functions, Image restoration, Filtering (signal processing), Sensors, Electronic filtering, Optical transfer functions, Signal to noise ratio, Image sensors, Fourier transforms, Linear filtering

Proceedings Article | 12 November 2001 Paper

Alpha coding of arbitrarily shaped objects for low-bit-rate MPEG-4

Ofer Hadar, Hagai Folkman

Proceedings Volume 4518, (2001) https://doi.org/10.1117/12.448198

KEYWORDS: Computer programming, Video, Binary data, Video coding, Opacity, Visualization, Transparency, Image resolution, Standards development, Multimedia

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SPIE Journal Paper | 1 October 2001

Modulation transfer function as a quality measure for compressed images transmitted over a lossy packet network

Ofer Hadar, Adrian Stern, Merav Huber, Revital Huber

OE, Vol. 40, Issue 10, (October 2001) https://doi.org/10.1117/12.10.1117/1.1397766

KEYWORDS: Image compression, Modulation transfer functions, Quality measurement

Proceedings Article | 20 July 2001 Paper

Multiplexing of individually smoothed video streams over computer networks

Ofer Hadar, Shlomo Greenberg, M. Segal, Ran Stone, Alon Katzir

Proceedings Volume 4519, (2001) https://doi.org/10.1117/12.434264

KEYWORDS: Video, Multiplexing, Statistical multiplexing, Video compression, Computer networks, Computer simulations, Video processing, Parallel processing, Solids, Algorithm development

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Proceedings Article | 15 May 2001 Paper

Influence of motion sensor error on image restoration from vibrations and motion

S. Raiter, Ofer Hadar, Norman Kopeika

Proceedings Volume 4306, (2001) https://doi.org/10.1117/12.426979

KEYWORDS: Image filtering, Signal to noise ratio, Electronic filtering, Filtering (signal processing), Modulation transfer functions, Interference (communication), Image restoration, Sensors, Optical transfer functions, Image sensors

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SPIE Journal Paper | 1 April 2001 Open Access

Medical image restoration of dynamic lungs using optical transfer function of lung motion

Dan Arbel, Ofer Hadar, Norman Kopeika

JBO, Vol. 6, Issue 02, (April 2001) https://doi.org/10.1117/12.10.1117/1.1352749

KEYWORDS: Lung, Optical transfer functions, Image restoration, Medical imaging, Image segmentation, Modulation transfer functions, Image processing, Imaging systems, Bessel functions, Motion models

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SPIE Journal Paper | 1 February 2001

Enhancement of an image compression algorithm by pre- and post-filtering

Ofer Hadar, Adrian Stern, Raz Koresh

OE, Vol. 40, Issue 02, (February 2001) https://doi.org/10.1117/12.10.1117/1.1339203

KEYWORDS: Image compression, Image filtering, Linear filtering, Signal to noise ratio, Image quality, Image processing, Spatial frequencies, Imaging systems, Image enhancement, Image restoration

Proceedings Article | 16 December 1999 Paper

MTF as a quality measure for compressed images transmitted over computer networks

Ofer Hadar, Adrian Stern, Merav Huber, Revital Huber

Proceedings Volume 3814, (1999) https://doi.org/10.1117/12.372747

KEYWORDS: Modulation transfer functions, Image compression, Imaging systems, Image quality, Video, Spatial frequencies, Video compression, Sun, Quality measurement, Distortion

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Proceedings Article | 22 November 1999 Paper

Video rate smoothing and statistical multiplexing using the e-PCRTT algorithm

Ofer Hadar, Shlomo Greenberg

Proceedings Volume 3845, (1999) https://doi.org/10.1117/12.371216

KEYWORDS: Video, Multiplexing, Statistical multiplexing, Networks, Video compression, Smoothing, Multimedia, Statistical analysis, Computer programming, Motion models

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SPIE Journal Paper | 1 May 1999

Oversampling requirements for pixelated-imager systems

Ofer Hadar, Glenn Boreman

OE, Vol. 38, Issue 05, (May 1999) https://doi.org/10.1117/12.10.1117/1.602044

KEYWORDS: Modulation transfer functions, Image quality, Image processing, Imaging systems, Array processing, Transform theory, Infrared imaging, Fourier transforms, Spatial frequencies, Optical engineering

Proceedings Article | 22 January 1999 Paper

PCRTT enhancement for offline video smoothing

Ofer Hadar, Reuven Cohen

Proceedings Volume 3528, (1999) https://doi.org/10.1117/12.337397

KEYWORDS: Video, Multiplexing, Video compression, Smoothing, Algorithm development, Multimedia, Asynchronous transfer mode, Receivers, Legal, Quantization

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Proceedings Article | 1 October 1998 Paper

Image compression improvement by prefiltering

Ofer Hadar, Adrian Stern

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323160

KEYWORDS: Image compression, Image filtering, Linear filtering, Image processing, Signal to noise ratio, Image quality, Image restoration, Image transmission, Quantization, Spatial frequencies

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SPIE Journal Paper | 1 July 1998

Relative effects of distortion and noise on target acquisition: the advisability of image restoration

Roni Succary, Masha Maltz, Ofer Hadar, Stanley Rotman, Norman Kopeika

OE, Vol. 37, Issue 07, (July 1998) https://doi.org/10.1117/12.10.1117/1.601897

KEYWORDS: Distortion, Image restoration, Target acquisition, Modulation transfer functions, Signal to noise ratio, Filtering (signal processing), Spatial frequencies, Turbulence, Aerosols, Optical engineering

Proceedings Article | 21 November 1997 Paper

Relative effects of blur and noise on target acquisition: the advisability of image restoration

Roni Succary, N. Corse, Ofer Hadar, Stanley Rotman, Norman Kopeika

Proceedings Volume 3128, (1997) https://doi.org/10.1117/12.283921

KEYWORDS: Image restoration, Signal to noise ratio, Modulation transfer functions, Turbulence, Target acquisition, Filtering (signal processing), Spatial frequencies, Aerosols, Image quality, Image resolution

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Proceedings Article | 23 October 1997 Paper

Analysis of oversampling requirements in infrared scene projectors

Ofer Hadar, Glenn Boreman

Proceedings Volume 3122, (1997) https://doi.org/10.1117/12.292699

KEYWORDS: Modulation transfer functions, Image processing, Projection systems, Infrared radiation, Sensors, Spatial frequencies, Array processing, Staring arrays, Image quality, Laser optics

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Proceedings Article | 22 September 1997 Paper

Angular dependence of sampling MTF

Ofer Hadar, Aristide Dogariu, Glenn Boreman

Proceedings Volume 3110, (1997) https://doi.org/10.1117/12.281356

KEYWORDS: Modulation transfer functions, Spatial frequencies, Image quality, Image filtering, Projection systems, Staring arrays, Image processing, Modulation, Fourier transforms, Laser optics

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Proceedings Article | 22 September 1997 Paper

Image restoration for target detection: will it help?

Ofer Hadar, N. Corse, R. Khalif, Y. Neumann, Stanley Rotman, Norman Kopeika

Proceedings Volume 3110, (1997) https://doi.org/10.1117/12.281364

KEYWORDS: Target acquisition, Modulation transfer functions, Target detection, Spatial frequencies, Imaging systems, Image restoration, Target recognition, Turbulence, Performance modeling, Filtering (signal processing)

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Proceedings Article | 21 November 1996 Paper

Contrast vs noise effects on image quality

Ofer Hadar, N. Corse, Stanley Rotman, Norman Kopeika

Proceedings Volume 2829, (1996) https://doi.org/10.1117/12.259737

KEYWORDS: Image restoration, Turbulence, Signal to noise ratio, Modulation transfer functions, Image quality, Atmospheric modeling, Aerosols, Spatial frequencies, Image resolution, Mathematical modeling

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Proceedings Article | 25 October 1996 Paper

Image reconstruction from power spectral data

Ofer Hadar, E. Gresten, D. Weitzman, Dan Arbel

Proceedings Volume 2827, (1996) https://doi.org/10.1117/12.255081

KEYWORDS: Image restoration, Modulation transfer functions, Fourier transforms, Signal to noise ratio, Phase shift keying, X-ray astronomy, Algorithm development, Image retrieval, Reconstruction algorithms, Optical transfer functions

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SPIE Journal Paper | 1 October 1996

Image motion restoration from a sequence of images

Ofer Hadar, M. Robbins, Y. Novogrozky, D. Kaplan

OE, Vol. 35, Issue 10, (October 1996) https://doi.org/10.1117/12.10.1117/1.600959

KEYWORDS: Optical transfer functions, Image restoration, Image processing, Filtering (signal processing), Cameras, Electronic filtering, Motion measurement, Sensors, Motion estimation, Modulation transfer functions

Proceedings Article | 17 June 1996 Paper

Incorporating the entire modulation transfer function into a target acquisition model

Ofer Hadar, Stanley Rotman, Norman Kopeika

Proceedings Volume 2742, (1996) https://doi.org/10.1117/12.242988

KEYWORDS: Modulation transfer functions, Target acquisition, Target detection, Spatial frequencies, Imaging systems, Systems modeling, Aerosols, Signal to noise ratio, Sensors, Visual system

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SPIE Journal Paper | 1 October 1995

Automatic target recognition during sensor motion and vibration

Ofer Hadar, A. Kuntsevitsky, M. Wasserblat, Norman Kopeika, Stanley Rotman

OE, Vol. 34, Issue 10, (October 1995) https://doi.org/10.1117/12.10.1117/12.210733

KEYWORDS: Image segmentation, Automatic target recognition, Image processing, Target detection, Modulation transfer functions, Sensors, Field effect transistors, Image restoration, Image quality, Fractal analysis

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Proceedings Article | 22 August 1995 Paper

Medical image restoration of dynamic lungs using optical transfer function of lung motion

Dan Arbel, I. Lisha, N. Hirsch, Ofer Hadar, Norman Kopeika

Proceedings Volume 2564, (1995) https://doi.org/10.1117/12.217440

KEYWORDS: Lung, Optical transfer functions, Image restoration, Medical imaging, Image segmentation, Imaging systems, Image processing, Modulation transfer functions, Image quality, Spatial frequencies

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Proceedings Article | 6 June 1995 Paper

Quantitative evaluation of target acquisition capability when restoring images blurred by sensor motion

Ofer Hadar, Norman Kopeika, Stanley Rotman

Proceedings Volume 2426, (1995) https://doi.org/10.1117/12.211174

KEYWORDS: Image segmentation, Spatial frequencies, Target acquisition, Modulation transfer functions, Signal to noise ratio, Imaging systems, Target detection, Image processing, Image restoration, Sensors

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Proceedings Article | 2 June 1995 Paper

Contrast-limited target acquisition: atmospheric and motion effects

Ofer Hadar, Dan Sadot, Itai Dror, Stanley Rotman, Norman Kopeika

Proceedings Volume 2469, (1995) https://doi.org/10.1117/12.210622

KEYWORDS: Modulation transfer functions, Spatial frequencies, Imaging systems, Atmospheric modeling, Aerosols, Target acquisition, Atmospheric particles, Signal to noise ratio, Turbulence, Motion models

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Proceedings Article | 26 May 1995 Paper

Image motion restoration from a sequence of images

Ofer Hadar, M. Robbins, Y. Novogrozky, D. Kaplan, Stanley Rotman, Norman Kopeika

Proceedings Volume 2468, (1995) https://doi.org/10.1117/12.210428

KEYWORDS: Optical transfer functions, Filtering (signal processing), Cameras, Image restoration, Image processing, Electronic filtering, Motion estimation, Sensors, Modulation transfer functions, Detection and tracking algorithms

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Proceedings Article | 25 October 1994 Paper

Influence of sensor motion on target acquisition

Ofer Hadar, A. Mendelblat, R. Sabath, Norman Kopeika, Stanley Rotman

Proceedings Volume 2272, (1994) https://doi.org/10.1117/12.191912

KEYWORDS: Target detection, Airborne reconnaissance, Target acquisition, Cameras, Image processing, Sensors, Motion models, Spatial filters, Image filtering, Target recognition

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SPIE Journal Paper | 1 September 1994

Target acquisition modeling of forward-motion considerations for airborne reconnaissance over hostile territory

Ofer Hadar, Stanley Rotman, Norman Kopeika

OE, Vol. 33, Issue 09, (September 1994) https://doi.org/10.1117/12.10.1117/12.177485

KEYWORDS: Spatial frequencies, Modulation transfer functions, Target acquisition, Imaging systems, Image quality, Optical transfer functions, Image sensors, Sensors, Airborne reconnaissance, Motion analysis

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Proceedings Article | 29 July 1994 Paper

Automatic target recognition during sensor motion and vibration

Ofer Hadar, A. Kuntsevitsky, M. Wasserblat, Norman Kopeika, Stanley Rotman

Proceedings Volume 2234, (1994) https://doi.org/10.1117/12.181029

KEYWORDS: Modulation transfer functions, Target detection, Field effect transistors, Image processing, Automatic target recognition, Image segmentation, Image resolution, Analytical research, Image quality, Motion analysis

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Proceedings Article | 8 July 1994 Paper

Target acquisition probabilities for image motion and vibration

Ofer Hadar, Stanley Rotman, Norman Kopeika

Proceedings Volume 2224, (1994) https://doi.org/10.1117/12.180063

KEYWORDS: Modulation transfer functions, Target detection, Spatial frequencies, Target acquisition, Thermography, Imaging systems, Electro optical modeling, Statistical analysis, Sensors, Thermal modeling

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Proceedings Article | 5 July 1994 Paper

Restoration of images degraded by mechanical vibrations

Ofer Hadar, Z. Adar, A. Cotter, Yitzhak Yitzhaky, Norman Kopeika

Proceedings Volume 2221, (1994) https://doi.org/10.1117/12.178953

KEYWORDS: Image restoration, Optical transfer functions, Image processing, Image filtering, Electronic filtering, Point spread functions, Filtering (signal processing), Sensors, Cameras, Optical filters

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SPIE Journal Paper | 1 February 1994

Image resolution limits resulting from mechanical vibrations. Part IV: real-time numerical calculation of optical transfer functions and experimental verification

Ofer Hadar, Itai Dror, Norman Kopeika

OE, Vol. 33, Issue 02, (February 1994) https://doi.org/10.1117/12.10.1117/12.153186

KEYWORDS: Modulation transfer functions, Optical transfer functions, Spatial frequencies, Image sensors, Sensors, Phase transfer function, Image processing, Cameras, Image resolution, Motion measurement

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Proceedings Article | 1 October 1993 Paper

Motion considerations for airborne reconnaissance of a target over hostile territory

Ofer Hadar, Stanley Rotman, Norman Kopeika

Proceedings Volume 1950, (1993) https://doi.org/10.1117/12.156597

KEYWORDS: Modulation transfer functions, Target acquisition, Image sensors, Sensors, Spatial frequencies, Imaging systems, Image quality, Optical transfer functions, Target detection, Cameras

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Proceedings Article | 13 August 1993 Paper

Real-time numerical calculation of optical transfer function for image motion and vibration: experimental verification

Ofer Hadar, Itai Dror, Norman Kopeika

Proceedings Volume 1971, (1993) https://doi.org/10.1117/12.151005

KEYWORDS: Modulation transfer functions, Optical transfer functions, Spatial frequencies, Sensors, Image sensors, Image processing, Cameras, Motion measurement, Optical engineering, Phase transfer function

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Proceedings Article | 25 November 1992 Paper

Numerical calculation of MTF for image motion: experimental verification

Ofer Hadar, Itai Dror, Norman Kopeika

Proceedings Volume 1697, (1992) https://doi.org/10.1117/12.138200

KEYWORDS: Modulation transfer functions, Sensors, Spatial frequencies, Image sensors, Cameras, Motion analysis, Charge-coupled devices, Optical transfer functions, Motion measurement, Light sources

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SPIE Journal Paper | 1 March 1992

Image resolution limits resulting from mechanical vibrations. Part III: numerical calculation of modulation transfer function

Ofer Hadar, Moshe Fisher, Norman Kopeika

OE, Vol. 31, Issue 03, (March 1992) https://doi.org/10.1117/12.10.1117/12.56084

KEYWORDS: Modulation transfer functions, Spatial frequencies, Image resolution, Image processing, Modulation, Image quality, Sensors, Robotics, Imaging systems, Spatial resolution

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Proceedings Article | 1 December 1991 Paper

Numerical calculation of image motion and vibration modulation transfer functions: a new method

Ofer Hadar, Itai Dror, Norman Kopeika

Proceedings Volume 1533, (1991) https://doi.org/10.1117/12.48865

KEYWORDS: Modulation transfer functions, Motion analysis, Optomechanical design, Imaging systems, Image filtering, Image quality, Sensors, Image restoration, Mechanics, Image resolution

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Proceedings Article | 1 August 1991 Paper

Numerical calculation of image motion and vibration modulation transfer function

Ofer Hadar, Moshe Fisher, Norman Kopeika

Proceedings Volume 1482, (1991) https://doi.org/10.1117/12.45718

KEYWORDS: Modulation transfer functions, Spatial frequencies, Imaging systems, Image filtering, Image restoration, Image resolution, Image processing, Motion analysis, Modulation, Sensors

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SPIE Journal Paper | 1 May 1991

Image resolution limits resulting from mechanical vibrations. Part 2: Experiment

S. Rudoler, Ofer Hadar, Moshe Fisher, Norman Kopeika

OE, Vol. 30, Issue 05, (May 1991) https://doi.org/10.1117/12.10.1117/12.55843

KEYWORDS: Modulation transfer functions, Spatial frequencies, Image resolution, Image processing, Image quality, Cameras, Motion measurement, Motion models, Visual process modeling, Digital imaging

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Proceedings Article | 1 November 1990 Paper

Numerical calculation of modulation transfer functions for low-frequency mechanical vibrations

Moshe Fisher, Ofer Hadar, Norman Kopeika

Proceedings Volume 1342, (1990) https://doi.org/10.1117/12.23160

KEYWORDS: Modulation transfer functions, Spatial frequencies, Image quality, Airborne reconnaissance, Sensors, Image resolution, Modulation, Image processing, Reconnaissance, Imaging systems

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