WAVELET BI-ORTHOGONAL FILTER COEFFICIENT BASED IMAGE COMPRESSION
A. Meenakshi, M. Hariharan · 2013
many applications, the image compression is one of the example. New wavelet bi-orthogonal filter coefficients for wavelet decomposition and recon struction of image are introduced for better image compression, when the image is compressed by using these filter coefficient in DWT-SPIHT schema then it perform better than DWT-SPIHT schema with wavelet 9/7 filter and wavelet 5/3 filter. The compression result by using these filter coefficient show that the reconstructed image has higher PSNR and low MSE than wavelet 9/7 filter and wavelet 5/3 filter. Modern image compression algorithms such as JPEG 2000 employ the discrete wavelet transform (DWT) to redistribute the information in an image into a more compressible format. Under normal conditions, the DWT provides near perfect performance, but in situations requiring the trans mission of images across noisy or bandwidth-limited channels , the performance of the wavelet algorithm may be improved by redefining the wavelet filter using an optimization algorithm. The optimized filters provide good performance under special conditions they no longer adhere to the mathematical properties of wavelets, namely the bi-orthogonal between the forward (compression) and inverse (reconstruction) filters. Keywords-Image compression, Wavelet Transform, Image texture, Wavelet 9/7 filter, Wavelet 5/3 filter.