COMPRESSION ALGORITHM FOR BIOMEDICAL INFORMATION

ELECTRONICS AND COMMUNICATIION ENGINEERING

ABSTRACT Video compression plays an important role in many digital video processing applications such as for digital video transmission, also thousands of website like Youtube , NetFlix that requires large storage space. Video compression technologies are about reducing and removingredundant video data so that a digital video file can be effectively sent over a network or can be stored on computer disks with the reduction of data size. In this project we proposed video compression using motion compensation technique that reduces video data based on motion estimation from one frame to another. Motion compensation is an algorithmic technique employed for the encoding of video data for video compression.Motion compensation describes a frame in terms of the transformation of a reference frame with respect to the current frame. The reference frame may be previous in time or even from the future. The proposed method reduces the candidate of the prediction modes based on the Sum of Absolute Hadamard-Transformed Difference (SATD) between the original block and the intra predicted block. Motion of each block is obtained based on the SATD value. The current frames are further reduced by using the combination of motion and most probable displacement. The proposed method reduces the number of motion in frames to either one or two. When imagescan be accurately synthesised from previously stored images, the compression efficiency can be improved. Temporal redundancy is exploited so that not every frame of the video needs to be coded independently as a new image.

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