Dr. Abdelhakim Saadane Profile

Dr. Abdelhakim Saadane

at Polytech' Nantes

SPIE Involvement:

Author

Publications (20)

Proceedings Article | 8 February 2015 Paper

Comparison of no-reference image quality assessment machine learning-based algorithms on compressed images

Christophe Charrier, AbdelHakim Saadane, Christine Fernandez-Maloigne

Proceedings Volume 9396, 939610 (2015) https://doi.org/10.1117/12.2076145

KEYWORDS: Databases, Image quality, Distortion, Image compression, Evolutionary algorithms, Neural networks, Statistical analysis, JPEG2000, Statistical modeling, Visualization

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Proceedings Article | 17 March 2014 Paper

Multimodal video quality assessment for talking face analysis

Naty Ould Sidaty, Mohamed-Chaker Larabi, Abdelhakim Saadane

Proceedings Volume 9016, 90160M (2014) https://doi.org/10.1117/12.2042482

KEYWORDS: Video, Molybdenum, Databases, Video surveillance, Multimedia, Head, Eye, Visualization, Video compression, Statistical analysis

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Proceedings Article | 3 February 2014 Paper

On the definition of adapted audio/video profiles for high-quality video calling services over LTE/4G

Maty Ndiaye, Catherine Quinquis, Mohamed Chaker Larabi, Gwenael Le Lay, Hakim Saadane, Clency Perrine

Proceedings Volume 9016, 90160J (2014) https://doi.org/10.1117/12.2039291

KEYWORDS: Video, Molybdenum, Computer programming, Computing systems, Standards development, Video compression, Tablets, Transform theory, Video coding, Multimedia

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SPIE Journal Paper | 22 March 2012

Efficient bit allocation using new intra and inter-frame modeling for H.264/AVC

Miryem Hrarti, Abdelhakim Saadane, Mohamed-Chaker Larabi, Driss Aboutajdine, Ahmed Tamtaoui

JEI, Vol. 21, Issue 1, 013013, (March 2012) https://doi.org/10.1117/12.10.1117/1.JEI.21.1.013013

KEYWORDS: Detection and tracking algorithms, Video, Motion models, Quantization, Francium, Computer programming, Motion measurement, Performance modeling, Video coding, Databases

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Proceedings Article | 25 January 2012 Paper

A perceptual optimization of H.264/AVC bit allocation at the frame and macroblock levels

M. Hrarti, H. Saadane, M.-C. Larabi, A. Tamtaoui, D. Aboutajdine

Proceedings Volume 8293, 82930V (2012) https://doi.org/10.1117/12.908394

KEYWORDS: Visualization, Video, Quantization, Detection and tracking algorithms, Francium, Video compression, Computer programming, Distortion, Motion measurement, Visual process modeling

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In H.264/AVC rate control algorithm, the bit allocation process and the QP determination are not optimal. At frame layer, there is an implicit assumption considering that the video sequence is more or less stationary and consequently the neighbouring frames have similar characteristics. So, the target Bit-Rate for each frame is estimated using a straightforward process that allocates an equal bit budget for each frame regardless of its temporal and spatial complexities. This uniform allocation is surely not suited especially for all types of video sequences. The target bits determination at macroblock layer uses the MAD (Mean Absolute Difference) ratio as a complexity measure in order to promote interesting macroblocks, but this measure remains inefficient in handling macroblock characteristics. In a previous work we have proposed Rate-Quantization (R-Q) models for Intra and Inter frames used to deal with the QP determination shortcoming. In this paper, we look to overcome the limitation of the bit allocation process at the frame and the macroblock layers. At the frame level, we enhance the bit allocation process by exploiting frame complexity measures. Thereby, the target bit determination for P-frames is adjusted by combining two temporal measures: The first one is a motion ratio determined from actual bits used to encode previous frames. The second measure exploits both the difference between two consecutive frames and the histogram of this difference. At macroblock level, the visual saliency is used in the bit allocation process. The basic idea is to promote salient macroblocks. Hence, a saliency map, based on a Bottom-Up approach, is generated and a macroblock classification is performed. This classification is then used to accurately adjust UBits_H264 which represents the usual bit budget estimated by H.264/AVC bit allocation process. For salient macroblocks the adjustment leads to a bit budget which is always larger than UBits_H264. The extra bits added to code these macroblocks are deducted from the bit budget allocated to the non-salient macroblocks. Simulations have been carried out using JM15.0 reference software, several video sequences and different target Bit-Rates. In comparison with JM15.0 algorithm, the proposed approach improves the coding efficiency in terms of PSNR/PSNR-HVS (up to +2dB/+3dB). Furthermore, the bandwidth constraint is always satisfied because the actual Bit-Rate is always lower than or equal to the target Bit-Rate.

Proceedings Article | 24 January 2011 Paper

Improving the quality of H.264/AVC by using a new rate-quantization model

M. Hrarti, H. Saadane, M.-C. Larabi, A. Tamtaoui, D. Aboutajdine

Proceedings Volume 7867, 78670J (2011) https://doi.org/10.1117/12.872426

KEYWORDS: Quantization, Video, Video coding, Computer programming, Visual process modeling, Motion models, Bridges, Data modeling, Detection and tracking algorithms, Image quality standards

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Proceedings Article | 4 March 2008 Paper

Automatic video summarization driven by a spatio-temporal attention model

R. Barland, A. Saadane

Proceedings Volume 6806, 68060Q (2008) https://doi.org/10.1117/12.765527

KEYWORDS: Video, Visualization, Semantic video, RGB color model, Image filtering, Visual system, Visual process modeling, Image processing, Astatine, Colorimetry

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SPIE Journal Paper | 1 January 2007

Toward a unified fidelity metric of still-coded images

Abdelhakim Saadane

JEI, Vol. 16, Issue 01, 013005, (January 2007) https://doi.org/10.1117/12.10.1117/1.2437728

KEYWORDS: Performance modeling, Image quality, Visualization, Visual process modeling, Databases, Image processing, Spatial frequencies, Image segmentation, Molybdenum, Image compression

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Proceedings Article | 17 January 2006 Paper

Reference free quality metric using a region-based attention model for JPEG-2000 compressed images

Remi Barland, Abdelhakim Saadane

Proceedings Volume 6059, 605905 (2006) https://doi.org/10.1117/12.642933

KEYWORDS: Image compression, Image quality, Image segmentation, RGB color model, Chromium, Visualization, Visual system, Binary data, Image processing, Visual process modeling

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SPIE Journal Paper | 1 April 2004

Coded image quality assessment based on a new contrast masking model

Nachida Bekkat, Abdelhakim Saadane

JEI, Vol. 13, Issue 02, (April 2004) https://doi.org/10.1117/12.10.1117/1.1666872

KEYWORDS: Image quality, Quantization, Visualization, Visual process modeling, Image filtering, Quality measurement, Image processing, Molybdenum, Spatial frequencies, Databases

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Proceedings Article | 20 June 2003 Paper

Watermark strength determination based on a new contrast masking model

Abdelhakim Saadane

Proceedings Volume 5020, (2003) https://doi.org/10.1117/12.476818

KEYWORDS: Digital watermarking, Visualization, Quantization, Visual system, Discrete wavelet transforms, Sensors, Linear filtering, Visual process modeling, Image compression, Image processing

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Proceedings Article | 1 August 2001 Paper

Psychovisual approach for watermarking

Florent Autrusseau, Abdelhakim Saadane, Dominique Barba

Proceedings Volume 4314, (2001) https://doi.org/10.1117/12.435433

KEYWORDS: Digital watermarking, Image processing, Binary data, Visual system, Image restoration, Feature extraction, Visibility, Wavelets, Contrast sensitivity, Visual process modeling

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Proceedings Article | 2 June 2000 Paper

Masking effects in the quality assessment of coded images

Nachida Bekkat, Abdelhakim Saadane, Dominique Barba

Proceedings Volume 3959, (2000) https://doi.org/10.1117/12.387158

KEYWORDS: Quantization, Image quality, Visibility, Visual process modeling, Image filtering, Visual system, Visualization, Distortion, Quality measurement, Digital image processing

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Proceedings Article | 2 June 2000 Paper

Frequency and spatial pooling of visual differences for still image quality assessment

Patrick Le Callet, Abdelhakim Saadane, Dominique Barba

Proceedings Volume 3959, (2000) https://doi.org/10.1117/12.387193

KEYWORDS: Image quality, Visual process modeling, Distortion, Spatial frequencies, Molybdenum, Image filtering, Visualization, Visual system, Visibility, Image processing

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Proceedings Article | 19 May 1999 Paper

Interactions of chromatic components in the perceptual quantization of the achromatic component

Patrick Le Callet, Abdelhakim Saadane, Dominique Barba

Proceedings Volume 3644, (1999) https://doi.org/10.1117/12.348432

KEYWORDS: Quantization, Colorimetry, Visualization, Visibility, Visual process modeling, Chromium, Visual analytics, Human vision and color perception, Color vision, Receptors

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Proceedings Article | 17 July 1998 Paper

Perceptual quantization of chromatic components

Abdelhakim Saadane, Laurent Bedat, Dominique Barba

Proceedings Volume 3299, (1998) https://doi.org/10.1117/12.320112

KEYWORDS: Quantization, Colorimetry, Visual system, Visibility, Chromium, Signal detection, Image compression, Receptors, Picosecond phenomena, RGB color model

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Proceedings Article | 10 January 1997 Paper

Vector quantization based on a psychovisual lattice for a visual subband coding scheme

Hakim Senane, Abdelhakim Saadane, Dominique Barba

Proceedings Volume 3024, (1997) https://doi.org/10.1117/12.263257

KEYWORDS: Quantization, Visualization, Image compression, Image quality, Signal to noise ratio, Visual compression, Visual system, Electronic filtering, Matrices, Visibility

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Proceedings Article | 21 April 1995 Paper

Entirely psychovisual-based subband image coding scheme

Abdelhakim Saadane, Hakim Senane, Dominique Barba

Proceedings Volume 2501, (1995) https://doi.org/10.1117/12.206707

KEYWORDS: Quantization, Visualization, Image compression, Image filtering, Visual system, Signal to noise ratio, Image quality, Fluctuations and noise, Visual process modeling, Visibility

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Proceedings Article | 16 September 1994 Paper

Design of psychovisual quantizers for a visual subband image coding

Abdelhakim Saadane, Hakim Senane, Dominique Barba

Proceedings Volume 2308, (1994) https://doi.org/10.1117/12.185903

KEYWORDS: Quantization, Visualization, Visibility, Image visualization, Image compression, Signal detection, Electronic filtering, Visual system, Lithium, Signal processing

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Proceedings Article | 22 October 1993 Paper

Estimation of visual bandwidths and their impact in image decomposition and coding

Abdelhakim Saadane, Dominique Barba, Hakim Senane

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157910

KEYWORDS: Spatial frequencies, Image compression, Visualization, Visibility, Visual system, Signal detection, Cesium, Image quality, Quantization, Imaging systems

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Showing 5 of 20 publications

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