Paper
16 February 1996 Progressive analysis-based perceptually transparent coder for still images
V. Ralph Algazi, Gary E. Ford, Robert R. Estes Jr., Adel I. El-Fallah
Author Affiliations +
Proceedings Volume 2663, Very High Resolution and Quality Imaging; (1996) https://doi.org/10.1117/12.233029
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
The encoding of images at high quality is important in a number of applications. We have developed an approach to coding that produces no visible degradation and that we denote as perceptually transparent. Such a technique achieves a modest compression, but still significantly higher than error free codes. Maintaining image quality is not important in the early stages of a progressive scheme, when only a reduced resolution preview is needed. In this paper, we describe a new method for the progressive transmission of high quality still images, that efficiently uses the lower resolution images in the encoding process. Analysis based interpolation is used to estimate the higher resolution image, and reduces the incremental information transmitted at each step. This methodology for high quality image compression is also aimed at obtaining a compressed image of higher perceived quality than the original.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Ralph Algazi, Gary E. Ford, Robert R. Estes Jr., and Adel I. El-Fallah "Progressive analysis-based perceptually transparent coder for still images", Proc. SPIE 2663, Very High Resolution and Quality Imaging, (16 February 1996); https://doi.org/10.1117/12.233029
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Cited by 1 scholarly publication.
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KEYWORDS
Quantization

Computer programming

Image quality

Image compression

Image resolution

Visualization

Diffusion

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