| Paper Details: | Downloads: 511 |
| Serial Number: | P1150511002
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| Title: | Image Compression using Coding of Wavelet Coefficients – A Survey
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| Authors: | R.Sudhakar and R Karthiga and S.Jayaraman
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| Abstract: | Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. New algorithms for image compression based on wavelets have been developed. These methods have resulted in practical advances such as: superior low-bit rate performance, continuous–tone and bit-level compression, lossless and lossy compression, progressive transmission by pixel, accuracy and resolution, region of interest coding and others. We concentrate on the following methods of coding of wavelet coefficients, in this paper: EZW (embedded zero tree wavelet) algorithm, SPIHT (set partitioning in hierarchical trees) algorithm, SPECK (Set Partitioned Embedded Block Coder), WDR (wavelet difference reduction) algorithm, and ASWDR (adaptively scanned wavelet difference reduction) algorithm. These are relatively recent algorithms which achieve some of the lowest errors per compression rate and highest perceptual quality
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| Keywords: | Image compression, JPEG, Wavelets, EZW, SPIHT, SPECK, EBCOT, WDR, ASWDR, SFQ, CREW, EPWIC, SR, SFQ
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 5
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| Issue: | 6
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| Submission Date: | 2/1/2005 12:00:00 AM
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| Review Date: | 4/1/2005 12:00:00 AM
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| Publishing Date: | 6/1/2006 12:00:00 AM
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| Article Downloads: | 511
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