Wavelet Huffman Comparison

Abstract

problem with the presentation of images on the WEB is that a compromise between the quality of reproduction of the document and the transmission time required to download the huge amount of data contained in an image file has to found. To achieve this we have to reduce the volume of the data that must be transmitted which is known as Image compression. In this project Image Compression is done by using wavelet based methods. Wavelet Transforms are based on small waves called wavelets. The decompression is used to reconstruct the original image and the filtering is used for noise reduction. Image compression reduces redundancy in image data in order to store or transmit only a minimal number of samples from which a good approximation of the original image can be reconstructed in accordance with human visual perception. Many compression methods have been developed There are many compression algorithms are available. Best results are getting from Huffman and Wavelet algorithms. So we have chosen the Techniques of Wavelet and Huffman Algorithm.

Existing System

Proposed System

Architecture