Nonsubsampled Contourlet Transform based Video Compression using Huffman and Run Length Encoding for Multimedia Applications

Abstract

The process of encoding a video file that devours less memory space than the original video file is known as video compression. It is faster to transmit over the network. It reduces the size of video formats by eliminating unnecessary and redundant data from the original file. Video processing holds the most important role in different application fields such as medical, education, video conferencing, etc. The main objective of this video compression technique using a non-subsampled contourlet transform with Huffman encoding and run-length encoding is to achieve a high Compression Ratio (CR) and acceptable Peak Signal to Noise Ratio (PSNR) with less Mean square Error (MSE) without affecting the quality of the video. The design and development of the proposed algorithm for high-quality video compression are obtained through web cameras and surveillance cameras.