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Adaptive image compression using local pattern information
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DOI：10.1016/S0167-8655(02)00156-3.png)
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This paper describes a new adaptive coding technique to the coding of transform coefficients used in block based image compression schemes. The presence and orientation of the edge information in a sub-block are used to select different quantization tables and zigzag scan paths to cater for the local image pattern. Measures of the edge presence and edge orientation in a sub-block are calculated out of their DCT coefficients, and each sub-block can be classified into four different edge patterns. Experimental results show that compared to JPEG and the improved HVS-based coding, the new scheme has significantly increased the compression ratio without sacrificing the reconstructed image quality. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
image compression
JPEG
block-based coding
adaptive quantization
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3.3
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7.9K
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