Title :
A perceptual quality based rate distortion model
Author :
Wang, Chao ; Mou, Xuanqin ; Zhang, Lei
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
Rate and distortion models (R-D models) are important for current image/video encoders. They can help encoders to find the best encoding parameters for improving encoding performance quickly and effectively. However, most of the existing R-D models are based on mean square error (MSE). For the purpose of achieving better perceptual quality in encoding, the R-D models based on perceptual distortion measurement are involuntarily needed. In this paper, we proposed a perceptual quality based R-D model for lossy image/video encoding. The experimental results show that, the proposed model can accurately describe the R-D characteristics of the sources in the context of perceptual distortion, both for whole frames and the areas inside frame.
Keywords :
video coding; MSE; R-D characteristics; R-D model; encoding parameters; encoding performance improvement; lossy image encoding; lossy video encoding; mean square error; perceptual distortion measurement; perceptual quality metrics; rate distortion model; Accuracy; Bit rate; Computational modeling; Distortion measurement; Encoding; Image coding; Rate distortion model; lossy encoding; perceptual quality metrics;
Conference_Titel :
Quality of Multimedia Experience (QoMEX), 2012 Fourth International Workshop on
Conference_Location :
Yarra Valley, VIC
Print_ISBN :
978-1-4673-0724-6
Electronic_ISBN :
978-1-4673-0725-3
DOI :
10.1109/QoMEX.2012.6263859