Title :
Fractal image compression using Fast Context Independent HV partitioning scheme and MRBH, MRBHM coding
Author :
Nandi, Utpal ; Mandal, Jyotsana Kumar
Author_Institution :
Dept. of Comp. Sc. & Eng., Acad. of Technol., Hooghly, India
Abstract :
In this paper, the performance in terms of compression rates of fractal image compression using Fast Context Independent HV partitioning (FCI-HV) scheme and its variant fractal image compression using Fast Low Context Dependent HV partitioning (FLCD-HV) scheme are improved by applying loss-less data compression techniques on the fractal compressed image. By using loss-less data compression techniques Modified Region Based Huffman with code interchange (MRBH) and its variant Modified Region Based Huffman with multiple interchanging of code (MRBHM), encoding of fractal compressed image into final compressed image and decoding of the final compressed image from fractal compressed image are done. The compression ratio, Peak Signal to Noise Ratio (PSNR) and compression time are determined for different images. The results show that significant improvement in the compression ratios are achieved in the proposed techniques maintaining PSNRs of images well. But, the proposed techniques are slow than its counterparts.
Keywords :
data compression; fractals; image coding; FCI-HV; FLCD-HV; MRBH coding; MRBHM coding; PSNR; code interchange; fast context independent HV partitioning scheme; fast low context dependent HV partitioning; fractal image compression; loss-less data compression techniques; modified region based Huffman; peak signal to noise ratio; Context; Data compression; Decoding; Fractals; Image coding; PSNR; FCI-HV partition; FLCD-HV partition; Fractal compression; HV partition; MRBH; MRBHM; MRSA; RSA;
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.2014.6807989