Korea Society of Internet Information;KSII, the Korean Society for Internet Information
摘要:
摘要： 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. 出版者： KSII, the Korean Society for Internet Information 出版日期： 2014-12 出處： KSII Transactions on Internet and Information Systems, 2014, 8(12), , pp.4624-4642 版權： COPYRIGHT 2014 KSII, the Korean Society for Internet Information 識別號： ISSN: 1976-7277 識別號： ISSN: 2288-1468 識別號： EISSN: 1976-7277 識別號： DOI: 10.3837/tiis.2014.12.022
