Improved Intra Prediction Algorithm for HEVC with Conventional and Convolutional Neural Network Approach

Abstract

Video compression has evolved since last decade and has extended its employability to many applications such as high definition televisions, video conferencing etc. High definition videos have nearly two times of bit rate than standard definition videos. Hence, video compression is an important approach to obtain information with lesser data size. The paper proposes an improved approach for intra-prediction in HEVC with modified resolution enhancement approach and intra prediction is considered for all 35 modes. The obtained results shows that the similarity between input and output is nearly same and PSNR average is around 42. Further, a deep learning approach has also been incorporated and coding unit depth is predicted for intra prediction. The developed model has provided 85% accuracy maintaining the similar PSNR.