Effects Of Vanishing Moments Of Wavelets In Image Compression Algorithms

摘要

Image files commonly contain considerable amount of data that is redundant and much irrelevant, whereas image compression algorithms overcomes this by reducing the amount of data required to represent the image. In this work, Discrete Wavelet Transform based image compression algorithm is employed for decomposing the image. The various encoding schemes such as Embedded Zero wavelet, (EZW), Set Partitioning In Hierarchical Trees(SPIHT), Spatial orientation Tree Wavelet(STW), Wavelet Difference Reduction(WDR) and Adaptively Scanned Wavelet Difference Reduction(ASWDR) are used and their effectiveness in the compression is evaluated and also the effectiveness of different wavelets with various vanishing moments are analyzed based on the values of PSNR, Compression ratio, Means square error and bits per pixel. The optimum compression algorithm is also found based on the results.