An Approach to Parallel Transformation Technique for High-Efficiency Video Coding

Abstract

Compression plays a vital role in video processing. The reduction or removal of redundant data from raw video stream makes an effective video file transmission and storage with High Efficiency Video Coding (HEVC). HEVC is the standard developed by the Joint Collaborative Team on Video Coding (JCT-VC). HEVC or H.265 includes several modifications compared with its predecessor the H.264. During the HEVC encoding process, HEVC uses transform coding on self-contained and inter-predicted frame residuals, which possess distinct characters compared to residual frame. The residual frame information is performed using transformation, quantization, and entropy coder, and the encoded bit stream is decoded to reconstruct the original video. In this work, by using parallel transformation technique, the residual frame encoding and decoding is implemented for the improvement of HEVC. The results are presented with the use of proposed parallel transformation technique in the framework of the HEVC and performance results of our implementation show better results in video quality metrics. Our proposed implementation on HEVC transform, scaling, and quantization carried out on various video frame formats has shown better results compared to conventional discrete wavelet transform.