An Improved Method of Block Matching Algorithm for Video Compression Using Motion Estimation

Video is progressively become one of the most pervasive technologies in terms of everyday usage, both for entertainment and an enterprise environments. Normally, Video file needs large bandwidth, large storage space during transmission and the time consumption is also high when it transmits from source to destination. So, Video compression is concerned with reducing the amount of data required to reproduce a video. The main intention of video coding in most video applications such as video conferencing, camcorder, HDTV, medical imaging, and military imaging is to reduce the amount of video signal for storing and/or transmission purposes without affecting its visual quality . In this paper video compression is achieved by Motion Estimation and Block Tree Coding. Multiwavelet transform is used in this proposed method for preserve high frequency details and good energy compaction. A block tree coding is used for compression and reconstruction of Multiwavelet transformed image and thus the proposed scheme is called as Multiwavelet Block Tree Coding (MBTC) and this approach yields the advantages of high energy compaction, PSNR, and a less number of bits for encoding.