Paper
1 May 1994 JPEG compliant encoder utilizing perceptually based quantization
Author Affiliations +
Proceedings Volume 2179, Human Vision, Visual Processing, and Digital Display V; (1994) https://doi.org/10.1117/12.172663
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
The international JPEG (Joint Photographics Experts Group) standards for image compression deal with the compression of still images. It specifies the information contained in the compressed bit stream, and a decoder architecture that can reconstruct an image from the data in the bit stream. However, the exact implementation of the encoder is not standardized. The only requirement on the encoder is that it generate a compliant bit stream. This provides an opportunity to introduce new research results. The challenge in improving these standards based codecs is to generate a compliant bitstream that produces a perceptually equivalent image as the baseline system that has a higher compression ratio. This results in a lower encoded bit rate without perceptual loss in quality. The proposed encoder uses the perceptual model developed by Johnston and Safranek to determine, based on the input data, which coefficients are perceptually irrelevant. This information is used to remove (zero out) some coefficients before they are input to the quantizer block. This results in a larger percentage of zero codewords at the output of the quantizer which reduces the entropy of the resulting codewords.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert J. Safranek "JPEG compliant encoder utilizing perceptually based quantization", Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); https://doi.org/10.1117/12.172663
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CITATIONS
Cited by 24 scholarly publications and 1 patent.
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KEYWORDS
Quantization

Computer programming

Image compression

Data modeling

Image quality

Visual process modeling

Image quality standards

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