An Efficient Temporal Redundancy Transformation for Wavelet Based Video Compression

Abstract

The objective of this work is to propose a novel idea of transforming temporal redundancies present in videos. Initially, the frames are divided into sub-blocks. Then, the temporally redundant blocks are grouped together thus generating new frames with spatially redundant temporal data. The transformed frames are given to compression in the wavelet domain. This new approach greatly reduces the computational time. The reason is that the existing video codecs use block matching methods for motion estimation which is a time consuming process. The proposed method avoids the use of block matching method. The existing H.264/AVC takes approximately one hour to compress a video file where as the proposed method takes only one minute for the same task. The experimental results substantially proved that the proposed method performs better than the existing H.264/AVC standard in terms of time, compression ratio and PSNR.

Temporal Redundancy Reduction in Wavelet Based Video Compression for High Definition Videos

“…The video sequence contains more temporal redundant than spatial redundant data. Hence it is converted to video frames consisting of more spatial redundant data using T2SR transformation [16]. Now the spatially redundant data is transformed to wavelet coefficients.…”

“…The design procedure for the T2SR transformation is described in [16]. It is assumed that the video sequence is having x frames of size m×n.…”