Visual-PSNR measure of image quality |
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| Affiliation: | 1. School of Computer Science and Engineering, Xi''an University of Technology, Xi''an, 710048, China;2. Shaanxi Key Laboratory for Network Computing and Security Technology, Xi''an, 710048, China;3. Science and Technology Department, Xi''an University of Technology, Xi''an, 710048, China;4. Shaanxi Province Key Lab of Thin Film Technology and Optical Test, Xi''an Technological University, Xi''an, 710048, China;5. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore;1. School of Computer Science and Engineering, Xi''an University of Technology, Jinhua South Road, Beilin Xi''an 710048, China;2. Shaanxi Key Laboratory for Network Computing and Security Technology, Xi''an 710048, China;3. Shaanxi Province Key Lab of Thin Film Technology and Optical Test, Xi''an Technological University, Xi''an 710048, China;4. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore |
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| Abstract: | Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been developed for this purpose, of which peak signal-to-noise ratio PSNR is one of the simplest and commonly used. However, it sometimes does not match well with objective mean opinion scores (MOS). This paper presents a novel objective full-reference measure of image quality (VPSNR), which is a modified PSNR measure. It will be shown that VPSNR takes into account some features of the human visual system (HVS). The performance of VPSNR is validated using a data set of four image databases, and in this article it is shown that for images compressed by block-based compression algorithms (like JPEG) the proposed measure in the pixel domain matches well with MOS. |
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| Keywords: | Image quality Objective measure of image quality Peak signal-to-noise ratio Block-based compression algorithm Subjective image quality Image database Mean opinion score Human visual system |
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