Phase Similarity Index for Image Quality Assessment

doi:10.23940/ijpe.19.12.p16.32453252

Abstract

Abstract: Image quality evaluation is significant in many fields of image applications and research, such as the performance evaluation of image processing algorithms, image compression, encoding, and transmission. This study aims to design an evaluation method by using the phase and structure information of images. Compared with the amplitude structure of the image, the visual system is more sensitive to phase information. Based on this premise, a new image quality assessment method, which is named the phase similarity index (PSI), is proposed. It considers three important features for visual perception: brightness, contour, and phase information. To test the performance of PSI, relevant experiments are conducted on TID2008, TID2013, and CSIQ databases. The experimental results show that PSI can achieve higher consistency with subjective evaluation compared with the most advanced image quality metrics.

Key words: image quality assessment, phase characteristic, human visual system (HVS)

Huawen Chang, Changwei Mao, and Minghui Wang. Phase Similarity Index for Image Quality Assessment [J]. Int J Performability Eng, 2019, 15(12): 3245-3252.

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