International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 97 - Issue 14 |
Published: July 2014 |
Authors: Krishna Chauhan, Anubhuti Khare |
![]() |
Krishna Chauhan, Anubhuti Khare . Review on Fractal Image Compression based on Fast DCT Algorithm. International Journal of Computer Applications. 97, 14 (July 2014), 10-13. DOI=10.5120/17074-7512
@article{ 10.5120/17074-7512, author = { Krishna Chauhan,Anubhuti Khare }, title = { Review on Fractal Image Compression based on Fast DCT Algorithm }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 97 }, number = { 14 }, pages = { 10-13 }, doi = { 10.5120/17074-7512 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Krishna Chauhan %A Anubhuti Khare %T Review on Fractal Image Compression based on Fast DCT Algorithm%T %J International Journal of Computer Applications %V 97 %N 14 %P 10-13 %R 10.5120/17074-7512 %I Foundation of Computer Science (FCS), NY, USA
Fractal image compressions is a lossy compression technique for digital images. It is based on the assumptions that the image redundancies can be efficiently exploited by means of block self-affine transformations . Unlike other compression techniques it considers the interrelations between local (range blocks) and global (domain blocks) data. Use of contractive transform on the space of images encompasses a wide variety of coding scheme. However, the high computational complexity of fractal image encoding greatly restricts its application. This review gives a study of different speed ups using DCT to reduce the searching time .