Paper Details: Downloads: 439
Serial Number: P1150906638
Title: WAVELET FILTERS FOR IMAGE COMPRESSION, AN ANALYTICAL STUDY
Authors: G. Sadashivappa and K.V.S. Ananda Babu
Abstract: JPEG 2000 is the current still image compression standard which adopts a wavelet based technology in its compression scheme. The first step in the algorithm is to decompose the input image into set of sub bands via a wavelet transform. This paper presents a complete analytical study and characterization of wavelet filters used in wavelet based image coding. Most commonly used image compression algorithm Set Partitioning in Hierarchical Trees (SPIHT) is used to compare the different wavelet functions. The study includes the effect of different images, level of decomposition, and bitrates, bits per pixel (bpp). Simulation results show the important properties of wavelet have to be considered for image compression. Peak signal to noise ratio (PSNR) is used as a measure to compare wavelet filters.
Keywords: Wavelet, image compression, sub band, SPIHT, PSNR.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 9
Issue: 5
Submission Date: 2/6/2009 12:00:00 AM
Review Date: 2/13/2009 12:00:00 AM
Publishing Date: 7/11/2009 12:00:00 AM
Article Downloads: 439
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