INNOVATIVE FILTER ANALYSIS IN IMAGE PROCESSING SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE) © 2014 by SSRG - IJCSE Journal Volume-1 Issue-1 Year of Publication: 2014 Authors: T.Saravanan Citation: T.Saravanan 'INNOVATIVE FILTER ANALYSIS IN IMAGE PROCESSING', SSRG International Journal of Computer Science and Engineering (SSRG - IJCSE), V1 (1), 1-5 February 2014. ISSN: 2348 – 8387. Published by: Seventh Sense Research Group. Abstract: The wavelet transform has become the most interesting technology for still images. Yet there are many parameters within a wavelet analysis and synthesis which govern the quality of a reconstructed image. An evaluation of the visual quality of images for different wavelet filter leads to recommendations on the wavelet filter to be used in image coding.
The discrete wavelet decomposition and reconstruction remains one of the main issues of current signal and image processing. The reconstruction performance of the various wavelet filter family approaches that of discrete time domain filter coefficients used specifically for reconstruction for better visualization. The wavelet lifting scheme divides the wavelet transform into a set of steps.
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One of the elegant qualities of wavelet algorithms expressed via the lifting scheme is the fact that the inverse transform is a mirror of the forward transform. The comparative analysis of various wavelet filters using lifting wavelet transforms has been performed for image quality evaluation. References:  Jianyu Lin and Mark J. Smith “New Perspectives and Improvements on the Symmetric Extension Filter Bank for Subband/Wavelet Image Compression-IEEE Transactions on signal processing, volume. 2, February 2008.  Balasingham.I and Ramstad T.A Are the Wavelet Transforms the Best Filter Banks for Image Compression?, research article, Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing, pp 1-7, Article ID 2. Skyrim Ancient Knowledge Patch.  Sweldens.W, “The lifting scheme: A customdesign construction of biorthogonal wavelets,” Appl.
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