Color image compression by stack-run-end coding

Min-Jen Tsai

doi:10.1109/DCC.1998.672319

Color image compression by stack-run-end coding

Min-Jen Tsai^*

^*Corresponding author for this work

Institute of Information Management

Research output: Contribution to journal › Conference article › peer-review

Abstract

A new wavelet based image coding algorithm for color image compression is presented. The method works first by color space conversion, followed by uniform scalar quantization. A concise data structure is performed. The algorithm uses a small symbol set to dynamically convert the type data into a compact bit stream. Two different context lists in each subband are further specified from the symbol stream and alternatively compressed by adaptive arithmetic coder with high efficiency. Experimental results are given which show that the approach is very competitive to the refinement of zerotree type schemes.

Original language	English
Number of pages	1
Journal	Data Compression Conference Proceedings
DOIs	https://doi.org/10.1109/DCC.1998.672319
State	Published - 1 Jan 1998
Event	Proceedings of the 1998 Data Compression Conference, DCC - Snowbird, UT, USA Duration: 30 Mar 1998 → 1 Apr 1998

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10.1109/DCC.1998.672319

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abstract = "A new wavelet based image coding algorithm for color image compression is presented. The method works first by color space conversion, followed by uniform scalar quantization. A concise data structure is performed. The algorithm uses a small symbol set to dynamically convert the type data into a compact bit stream. Two different context lists in each subband are further specified from the symbol stream and alternatively compressed by adaptive arithmetic coder with high efficiency. Experimental results are given which show that the approach is very competitive to the refinement of zerotree type schemes.",

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AB - A new wavelet based image coding algorithm for color image compression is presented. The method works first by color space conversion, followed by uniform scalar quantization. A concise data structure is performed. The algorithm uses a small symbol set to dynamically convert the type data into a compact bit stream. Two different context lists in each subband are further specified from the symbol stream and alternatively compressed by adaptive arithmetic coder with high efficiency. Experimental results are given which show that the approach is very competitive to the refinement of zerotree type schemes.

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Color image compression by stack-run-end coding

Abstract

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