Paper
21 April 1995 Compression behavior of the JPEG baseline image coder
Leu-Shing Lan
Author Affiliations +
Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206766
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
Abstract
In this paper, we have investigated the compression behavior of each processing step of the JPEG baseline image coder. The two main objectives of this research are to provide a better understanding of the JPEG system and to provide a guideline for improving the performance of any JPEG-like image coders. For performance evaluation, we have chosen the estimated entropy as a means for performance measure. The key results of this paper are: (1) Generally, the psychovisually-weighted plays a dominant role of the overall system performance. (2) The compression gain provided by the entropy coding procedure is also significant. Since there is a gap between the estimated entropies and the actual coding rates, a more efficient entropy coding procedure which reflects the signal statistics should improve the system performance. (3) The common concept of the optimal transform is variance-based, which requires a zonal selection of the transform coefficients. Since the JPEG adopts the thresholding quantization, the ordinary discussion of an optimal transform is not appropriate. A truly optimal transform should take the transform and its subsequent operations into account. In consequence, to improve the overall system performance it would be effective to focus on the quantization and entropy coding procedures.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leu-Shing Lan "Compression behavior of the JPEG baseline image coder", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206766
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KEYWORDS
Quantization

Image compression

Signal processing

Image processing

Amplifiers

Distortion

Fourier transforms

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