Image Compression using DWT and Principal Component Analysis

A block wise implementation of principal component algorithm is suggested din the base work. The main disadvantage with the earlier work is that it takes time as the size of the image increases and further looping due to blocking effect of the algorithm. The compression performance reduces as the block size reduces or no. of block increases. In order to solve the mentioned problems, the images are decomposed using the discrete wavelet transform using haar wavelet. The global principal component analysis algorithm is applied on LH and HL frequency sub-band images. This enables the compression by preserving the critical boundaries or contours that are to be preserved while compressing the image so that minimum information is lost in compression during thresholding process.