JOURNAL ARTICLE

<title>JPEG compliant encoder utilizing perceptually based quantization</title>

R.J. Safranek

Year: 1994 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2179 Pages: 117-126   Publisher: SPIE

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.

Keywords:
Bitstream Encoder Codec Computer science Quantization (signal processing) JPEG Data compression Image compression JPEG 2000 Entropy encoding Lossless JPEG Compression ratio Entropy (arrow of time) Image quality Algorithm Computer vision Artificial intelligence Computer hardware Decoding methods Image (mathematics) Image processing

Metrics

24
Cited By
0.52
FWCI (Field Weighted Citation Impact)
0
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

<title>Perceptually based approach to color quantization</title>

Gu ErdanDuanqing XuJingbin WangChun Chen

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2001 Vol: 4552 Pages: 292-297
JOURNAL ARTICLE

<title>Perceptually based quantization technique for MPEG encoding</title>

Wilfried M. OsbergerAnthony MaederNeil Bergmann

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1998 Vol: 3299 Pages: 148-159
JOURNAL ARTICLE

<title>MPEG/JPEG encoder architecture using hybrid technologies</title>

Kung-Shiuh HuangMing-Hsiung LinAhmed N. TantawyMichael Ying Yang

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1996 Vol: 2615 Pages: 74-80
JOURNAL ARTICLE

<title>Real-time implementation of JPEG encoder/decoder</title>

Thomas M. CzyszczonRoy S. CzernikowskiMuhammad ShaabanKenneth Hsu

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1998 Vol: 3422 Pages: 281-292
JOURNAL ARTICLE

<title>Optimizing JPEG quantization matrices for different applications</title>

Paul Michael FarrelleSriram Venkatraraman

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1993 Vol: 1961 Pages: 134-140
© 2026 ScienceGate Book Chapters — All rights reserved.