International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 131 - Number 6 |
Year of Publication: 2015 |
Authors: Hanadi Ahmed Hakami, Arwa Darwish Alzughaibi, Zenon Chaczko |
10.5120/ijca2015907437 |
Hanadi Ahmed Hakami, Arwa Darwish Alzughaibi, Zenon Chaczko . Review of HVS-based Image Compression Methods. International Journal of Computer Applications. 131, 6 ( December 2015), 1-5. DOI=10.5120/ijca2015907437
Digital images can be compressed by using data compression processes with the aim of lessening image data redundancy and save or send out an efficient form of data. This is not an easy task because large volumes of data comprise an original image, requiring huge memory allocation and inconvenient transmission. In this paper, the Human Visual System-based Image Compression is reviewed based on set criteria. Specifically, the characteristics, compression techniques and wavelet-based compression are discussed.