Image Compression Using Logarithmic Functions with Pixels Shifting

Abstract

digital image size or image stream size is too large and requires an amount of storage space and high bandwidth for transmission. Hence, image size in its original form needs to reduce in order to improve the storage space and accelerate the transmission. Therefore, image compression addresses the problem of reducing the amount of information required to represent a digital image. It is a process intended to yield a compact representation of an image. For this reason, many compression techniques have been proposed; some of these have been effective in some areas and failed in others. In this thesis we propose a new image compression technique called Logarithm Transform based image compression with pixels shifting. This technique has been proposed to achieve high compression ratios and high quality of the reconstructed image. In order to demonstrate the performance of the proposed method, a comparison between the proposed technique and other common compression techniques has been performed. It has been found that our method gives better compression ratios, especially for PSNR above 40(dB).