Color image compression by stack-run-end coding

Min-Jen Tsai*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


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 languageEnglish
Number of pages1
JournalData Compression Conference Proceedings
StatePublished - 1 Jan 1998
EventProceedings of the 1998 Data Compression Conference, DCC - Snowbird, UT, USA
Duration: 30 Mar 19981 Apr 1998


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