Title :
A Fidelity Metric for Assessing Visual Quality of Color Images
Author :
Chou, Chun-Hsien ; Liu, Kuo-Cheng
Author_Institution :
Tatung Univ., Taipei
Abstract :
Correct assessment of image fidelity is fundamental to the development of efficient image compression schemes especially to that of the schemes taking characteristics of the human visual system into account. In this paper, a fidelity metric for assessing the visual quality of color images is presented. The proposed fidelity metric is designed to measure the perceivable distortion in the quasi-uniform color space of CIELAB. To evaluate the perceptibility of distortion, a color visual model is employed to estimate the visibility threshold of distortion for each color pixel. The visibility threshold of each color is measured as the size of the sphere of just-noticeable color difference and is modeled as a function of chroma, local luminance gradient and background uniformity. Simulation results show that the assessment of the proposed fidelity metric is more correspondent with the subjective assessment than other metrics using PSNR and CIELAB DeltaE.
Keywords :
brightness; data compression; image coding; image colour analysis; color difference; distortion perceptibility; fidelity metric; human visual system; image colour analysis; image compression; image fidelity assessment; local luminance gradient; visibility threshold; visual quality; Color; Compression algorithms; Distortion measurement; Educational institutions; Frequency; Humans; Image coding; Image quality; PSNR; Visual system;
Conference_Titel :
Computer Communications and Networks, 2007. ICCCN 2007. Proceedings of 16th International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-1251-8
Electronic_ISBN :
1095-2055
DOI :
10.1109/ICCCN.2007.4317975