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IJSTR >> Volume 3- Issue 7, July 2014 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Image Compression Using Haar Transform And Modified Fast Haar Wavelet Transform

[Full Text]



Avinash Ghorpade, Priyanka Katkar



Key words: Compression, Wavelet transform, Haar Wavelet Transform, Modified Fast Haar Wavelet Transform, MSE, PSNR, Compression Ratio



Abstract: Wavelet Transform has been proved to be a very useful tool for image processing in recent years. Digital images require large amounts of memory to store and, when retrieved from the internet, can take a considerable amount of time to download. Compression makes it possible for creating file sizes of manageable, storable and transmittable dimensions The Haar wavelet transform provides a method of compressing image data so that it takes up less memory. The most distinctive feature of Haar Transform lies in the fact that it lends itself easily to simple manual calculations. Modified Fast Haar Wavelet Transform is one of the algorithms which can reduce the calculation work in Haar Transform. The present paper attempts to describe the algorithm for image compression using MFHWT.



[1] Chang, P. and P. Piau, 2007. Modified Fast and Exact Algorithm for Fast Haar Transform. Proceedings of World Academy of Science, Engineering and Technology, 26: 509-512.

[2] Anuj Bhardwaj and Rashid Ali, Image compression using Modified Fast Haar Wavelet Transform, Department of Mathematics, Vishveshwarya Institute of Engineering and Technology, Dadri, G. B. Nagar-203207, U.P. India

[3] Greg Ames, Image Compression, Dec 2007

[4] Mohannad Abid Shehab Ahmed, Image Compression using Haar and Modified Haar Wavelet Transform, Tikrit Journal of Eng. Sciences/Vol.18/No.2/June 2011, (88-101)

[5] Meenakshi Chaudhary, Anupama Dhamija,’ Compression of Medical Images using Hybrid Wavelet Decomposition Technique’

[6] Saha S., 2000. Image Compression-from DCT to Wavelets: A Review. ACM Cross Words Students Magazine, 6(3)