Image Compression Using HAAR Wavelet Transform, DCT and Sub-Band Coding

Image compression is a widely addressed researched area. Many compression standards are in place. But still here there is a scope for high compression with quality reconstruction. The introduction of the wavelets gave different dimensions to the compression. This paper aims at the analysis of compression using DCT and Wavelet transform The work is particularly targeted towards wavelet image compression using Haar Transformation with an idea to minimize the computational requirements by applying different compression thresholds for the wavelet coefficients and these results are obtained in fraction of seconds and thus to improve the quality of the reconstructed image. Using a simplified model of a subband coder, we explore key design issues. The role of smoothness and compact support of the basis elements in compression performance are addressed. We then look at the evolution of practical subband image coders.