Abstract
Image compression is highly essential for efficient transmission and storage of images in the field of communication engineering, bio-medical applications. Also, the compression technology is of special interest for the fast transmission and real-time processing on the internet. For reduced form and less capacity, the area of research growing day by day. The objective of image compression is to find a new representation in which pixels are less correlated, but with the original contents. In this paper, the existing as well as new algorithms are applied for compression for evaluation. The results have been compared for both techniques. On the basis of evaluating and analyzing the image compression techniques it presents the VHDL implementation of low complexity 2D-DWT approach applied to image compression. The decompression has to invert the transformations applied by the compression to the image data. When using the wavelet transform it is possible to exploit the unique properties of the wavelet coefficients to efficiently encode them.
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