A Review on Design of Low Bit Rate Video Encoding for Image Compression

Abstract

In this paper, we propose a new low complexity video compression method based on detecting blocks containing moving edges using only DCT coefficients. The detection, whilst being very efficient, also allows efficient motion estimation by constraining the search process to moving macro-blocks only. It takes advantage of the prior knowledge of the image type to segment the image into different regions, then codes each region with differentcodingcriterion and method according to the different importance. An adaptive region-classified vector quantization strategy is also exploited in this algorithm. Canny method is adopted to detect the edges of the encoded image. These edges arereplaced with a pre-designed nine basis nameplates. Then,the Macro edge detection technique is used to reduce the number of these nameplates and keep only the edges that are necessary for visual quality.