An optimal weighted HEVC coding for video compression

Abstract

In recent years, the applications of multimedia are rising in greedy mode and hence the amount of video transactions are also increasing exponentially. It has been shouted a great demands for researchers to develop an effective models for video encoding & decoding, compression, bandwidth allocation, transmission channel and congestion control. This research work mainly focusses on to develop an efficient video compression standard algorithm named as High Efficiency Video Coding (HEVC). It proposes a new improved Iterative based propagation update in water wave Optimization Algorithm (IPU-WWO) that optimize the weights in adopted HEVC encoding. The proposed HEVC produces double the ratio of data compression at the similar level of quality of the video and considerably enhanced video quality with same bit rate compared with Advanced Video Coding (AVC). The performance of proposed IPU-WWO is compared with other conventional methods like Artificial Bee Colony (ABC), Firefly (FF), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) with respect to Peak Signal to Noise Ratio (PSNR). The experimental results show that proposed method produces better compression rate of 3.03%, 4.98%, 6.82%, and 8.38% compared with PSO, GA, FF, and ABC, respectively with high PSNR for the block size of 4. Moreover, the proposed method outperforms the state-of-the-art fast encoding algorithms for in terms of compression and performance.