Analysis of SPIHT Algorithm Using Tiling Operations

The aim of this paper is to study the performance of wavelet filters, using SPIHT algorithm with tiling operations for image compression. Tiling operations will be useful when images to be compressed are larger in size. Performance of different wavelets on image compression for different level of wa...

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Bibliographic Details
Main Authors: Sadashivappa, G., Jayakar, M., Ananda Babu, K.V.S.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Filters
Image analysis
Image coding
Image Compression
Image quality
Image reconstruction
Image resolution
MATLAB
PSNR
Signal resolution
SPIHT
Tiling
Wavelet
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Summary:The aim of this paper is to study the performance of wavelet filters, using SPIHT algorithm with tiling operations for image compression. Tiling operations will be useful when images to be compressed are larger in size. Performance of different wavelets on image compression for different level of wavelet decomposition and for different tiling size is studied. Data redundancy is a fundamental issue in image compression. A lossy image compression (SPIHT with tiling) technique which provides a higher level of data reduction but result in a less than perfect reconstruction of original image is implemented here using MATLAB software. Two different resolution of Lena image are used for analysis. Image Quality is measured objectively using PSNR (peak signal to noise ratio) and execution time is verified with respect to the tiling size and level of wavelet decomposition.
DOI:10.1109/ICSAP.2010.34