Paper
4 April 1997 Lossless and nearly lossless compression for high-quality images
Michael J. Gormish, Edward L. Schwartz, Alexander F. Keith, Martin P. Boliek, Ahmad Zandi
Author Affiliations +
Proceedings Volume 3025, Very High Resolution and Quality Imaging II; (1997) https://doi.org/10.1117/12.270058
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
While a losslessly compressed facsimile image might require 20,000 bytes of storage, a losslessly compressed color high resolution scan of the same sized document might require 200,000,000 bytes of storage. This factor of 10,000 in the image size necessitates more than just better compression, it requires a change in viewpoint about compression. A compression system for high quality images must provide a way to access only the required data rather than decompressing all the data and then selecting the desired portion. Furthermore, a high quality image compression system should be able to provide the best possible images for output devices which as of yet have not been manufactured. Finally, a high quality compression system should allow decompression and recompression without continual degradation of the image. This paper describes technologies including a reversible color transform, a reversible wavelet transform, a doubly embedded context mode, and a 'parseable' file format, which work together to provide solutions for high quality imaging needs.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael J. Gormish, Edward L. Schwartz, Alexander F. Keith, Martin P. Boliek, and Ahmad Zandi "Lossless and nearly lossless compression for high-quality images", Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); https://doi.org/10.1117/12.270058
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CITATIONS
Cited by 68 scholarly publications and 1 patent.
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KEYWORDS
Image compression

Quantization

Wavelets

RGB color model

Image segmentation

Image quality

Quality systems

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