Title :
Fractal image compression by using loss-less encoding on the parameters of affine transforms
Author :
Nandi, Utpal ; Mandal, Jyotsana Kumar
Author_Institution :
Dept. of Comp. Sc. & Eng., Acad. of Technol., Hooghly, India
Abstract :
A way of improvement of compression ratio of fractal image compression is proposed in this paper. The improvement of compression rates is done by applying the lossless compression techniques on the parameters of the affine transformations of the fractal compressed images. The Modified Region Based Huffman and its variant are used for this purpose. The PSNR of images are remained same. The comparison of the compression ratio and time are done between fractal image compression with quardtree partitioning schemes, the same with Huffman coding and its proposed improved versions. The proposed improved fractal image compression techniques offer better compression rates most of the times keeping the PSNRs unchanged. But, the compression time of proposed techniques are significantly increased than its counterparts.
Keywords :
Huffman codes; affine transforms; data compression; fractals; image coding; quadtrees; PSNR; affine transformations; compression rates; compression ratio; compression time; fractal image compression; loss-less encoding; lossless compression techniques; modified region based Huffman coding; quardtree partitioning schemes; Fractals; Huffman coding; Image coding; PSNR; Q-factor; Transform coding; Transforms; Compression ratio; Fractal compression; MRBH; MRBHM; Partitioned Iterated Function Systems (PIFS); Quardtree partition;
Conference_Titel :
Automation, Control, Energy and Systems (ACES), 2014 First International Conference on
Conference_Location :
Hooghy
Print_ISBN :
978-1-4799-3893-3
DOI :
10.1109/ACES.2014.6807984