A novel texture-based asymmetric visibility threshold model for stereoscopic video coding

作     者：Du, Baozhen Yu, Mei Jiang, Gangyi Zhang, Yun Zhu, Tianzhi 

作者机构：Ningbo Univ Fac Informat Sci & Engn Ningbo Zhejiang Peoples R China Ningbo Polytech Elect & Informat Coll Ningbo Zhejiang Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Hong Kong Peoples R China 

出 版 物：《EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING》 (EURASIP图像和视频处理杂志)

年 卷 期：2018年第2018卷第1期

页      面：1页

核心收录：

学科分类：0808[工学-电气工程] 1002[医学-临床医学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：Natural Science Foundation of China [61671258, U1301257, 61471348] K.C. Wong Magna Fund of Ningbo University General Scientific Research Project of the Education Department of Zhejiang Province [Y201636754] Guangdong Natural Science Foundation for Distinguished Young Scholar [2016A030306022] Shenzhen Science and Technology Development Project [JSGG20160229202345378] Shenzhen International Collaborative Research Project [GJHZ20170314155404913] 

主　　题：Asymmetric coding Texture complexity Asymmetric visual threshold Subjective perceptual experiment 

摘      要：Asymmetric stereoscopic video coding is becoming increasingly popular, as it can reduce the bandwidth required for stereoscopic 3D delivery without degrading the visual quality. Based on the perceptual theory of binocular suppression, the left and right views of stereoscopic video are coded with different levels of quality. However, existing asymmetric perceptual coding approaches on stereoscopic video mainly focus on the threshold of whole image distortion. It is not so reasonable to use a single unified rather than adaptable perception threshold for a random natural stereoscopic image as the texture complexity typically varies in different blocks of image. In this paper, we generated an asymmetrically distorted stereoscopic image set with different texture densities and conducted a large number of subjective perceptual experiments. A strong correlation between the asymmetrical visibility threshold and texture complexity is revealed from the subjective experiments, and a texture-based asymmetrical visibility threshold model (TAVT) is established. Then, the model is extended to the hierarchical B picture (HBP) coding architecture and an asymmetric stereoscopic video coding method is proposed based on the TAVT model. Experimental results show that the proposed method can effectively reduce the unnecessary perceptual redundancy without visual quality degradation. Especially, it is more efficient for high bitrate configuration.