Hierarchical Coding Algorithm for Medical Video Based on H.265/HEVC

In modern medical communication systems, the high-efficiency video compression technology is of great significance to the storage and transmission of digital medical videos. To further improve the compression performance of the medical ultrasound videos, two innovative technologies based on diagnostic region-of-interest (ROI) extraction with the High Efficiency Video Coding (H.265/HEVC) standard are proposed in the paper. First, an image-texture-feature based ROI extraction algorithm is proposed to strengthen the applicability of the ROI detection results in the H.265/HEVC quad-tree coding structure. Second, a hierarchical coding algorithm based on the adaptive transform coefficient adjustment and the quantization parameter selection process is designed to implement the otherness encoding for ROI and non-ROI. Experimental results show that the proposed method can improve the coding performance by achieving BD-BR savings of 13.52% on average compared to H.265/HEVC (HM15.0).