High Efficient Video Coding through improved Holo Entropy Encoding with Hybrid Grey wolf Optimization

Abstract

Advanced video coding (AVC) is lion’s share concept in present video compressing technology. In this regard, High Efficiency Video Coding (HEVC) delivers almost double of the data compression similar to the original video quality without variation in the bit rate.In this paper a novel enhanced holoentrophy is proposing for accomplishing encoding process in HEVC by linking with proposing tansig transfer function. Enhanced holoentrophy is the enhanced entropy standard where all the pixel deviations are grouped based on the interest and outliers will be eliminated. The weightage of tansig transfer function is optimally tuned through Hybrid Grey Wolf Optimization (HGWO) algorithm. To reduce the search space in GWO optimization GA optimization algorithm is used therefore this mechanism is named ad Hybrid Grey wolf Optimization. In the last, the proposed encoding technique is compared with conventional encoding techniques in terms of Root Mean Square Error (RMSE), Structural similarity index (SSIM) and Universal Quality Index (UQI) .