Indicator elimination for locally adaptive scheme using data hiding technique

Hon Hang Chang, Yung Chen Chou, Timothy K. Shih

研究成果: 雜誌貢獻期刊論文同行評審


Image compression is a popular research issue that focuses on the problems of reducing the size of multimedia files. Vector Quantization (VQ) is a well-known lossy compression method which can significantly reduce the size of a digital image while maintaining acceptable visual quality. A locally adaptive scheme (LAS) was proposed to improve the compression rate of VQ in 1997. However, a LAS needs extra indicators to indicate the sources, consequently the compression rate of LAS will be affected. In this paper, we propose a novel method to eliminate the LAS indicators and so improve the compression rate. The proposed method uses the concept of data hiding to conceal the indicators, thus further improving the compression rate of LAS. From experimental results, it is clearly demonstrated that the proposed method can actually eliminate the extra indicators while successfully improving the compression rate of the LAS.

頁(從 - 到)4624-4642
期刊KSII Transactions on Internet and Information Systems
出版狀態已出版 - 31 12月 2014


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