Paper
27 February 1996 Edge-adaptive JPEG image compression
Marcia G. Ramos, Sheila S. Hemami
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233181
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
Digital image compression algorithms have become increasingly popular due to the need to achieve cost-effective solutions in transmitting and storing images. In order to meet various transmission and storage requirements, the compression algorithm should allow a range of compression ratios, thus providing images of different visual quality. This paper presents a modified JPEG algorithm that provides better visual quality than the Q-factor scaling method commonly used with JPEG implementations. The quantization step sizes are adapted to the activity level of the block, and the activity selection is based on an edge-driven quadtree decomposition of the image. This technique achieves higher visual quality than standard JPEG compression at the same bit rate.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marcia G. Ramos and Sheila S. Hemami "Edge-adaptive JPEG image compression", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233181
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Image compression

Visualization

Quantization

Image segmentation

Image quality

Sensors

Edge detection

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