International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 54 - Issue 8 |
Published: September 2012 |
Authors: Navjot Kaur, Preeti Singh |
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Navjot Kaur, Preeti Singh . Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT. International Journal of Computer Applications. 54, 8 (September 2012), 20-23. DOI=10.5120/8587-2338
@article{ 10.5120/8587-2338, author = { Navjot Kaur,Preeti Singh }, title = { Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 54 }, number = { 8 }, pages = { 20-23 }, doi = { 10.5120/8587-2338 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Navjot Kaur %A Preeti Singh %T Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT%T %J International Journal of Computer Applications %V 54 %N 8 %P 20-23 %R 10.5120/8587-2338 %I Foundation of Computer Science (FCS), NY, USA
This paper presents a new approach for compression of medical images with MFHWT (Modified Fast Haar Wavelet Transform) and SPIHT (Set Partitioning In Hierarchical Trees). It provide high compression ratio with high picture quality. The Modified Fast Haar Wavelet Transform is used to decompose the image at different frequency levels. It has high multi-resolution characteristics. The CR (compression ratio) of proposed method is better than existing method (SPIHT). Medical images have a number of regions where intensity is changing slowly or even have a constant value. Such regions are compressed with higher compression ratio. In medical applications image distortion is not acceptable. So the quality of the images is also improved in proposed method in terms of PSNR (Peak Signal to Noise Ratio).