Research on lossless hyper-spectral image compression algorithm based on mixing tanform of YCoCg and substraction to eliminate spectral redundancy
2007; Sriwijaya University; Linguagem: Inglês
ISSN
2252-5459
Autores Tópico(s)Advanced Algorithms and Applications
ResumoThis paper presents YCoCg and substraction mixing transform to eliminate spectral redundancy,while 2D-CDF(2,2)DWT is used to eliminate spatial redundancy.This transform has priority in hardware realization convenience,since it can be fully implemented by add and shift operation.Here improved EBCOT algorithm is used to finish compression coding.The experiment results show that in lossless image compression applications the method is much better than JPEG-LS,WinZip,ARJ,DPCM,the research result of a research team of Chinese Academy of Sciences,NMST and MST.Using Canal test images of JPL laboratory as a example data set,on the average the compression ratio using this algorithm increases about 41%,36%,34%,29%,16%,14%,11% respectively comparing to the above algorithms.
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