The need for an efficient technique for compression of Images is ever increasing because the raw images require large amount of disk space and large amount of time for images to be sent over the internet or downloaded from the web pages which seems to be very big disadvantage during transmission & storage. In this paper, we propose a simple image compression scheme to obtain better reconstructed image on decompression. The scheme is mainly based on DCT (Discrete Cosine Transform), which is one of the well known lossy image compression techniques. Our approach does not involve any encoding or decoding method like other conventional compression methods thereby decreasing the time complexity of overall process.. The proposed scheme is simple, efficient and has low computational cost and high compression ratio and thus satisfying the current prime requirement of image data transmission and storage.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.