A FULL REFERENCE IMAGE QUALITY EVALUATION CORRESPOND WITH HUMAN VISUAL
Journal Title: Topics in Chemical & Material Engineering (TCME) - Year 2018, Vol 1, Issue 1
Abstract
For the image edge blurring after inpainting, this paper propose a full-reference image quality assessment based on the human visual property. Using Weber-Fechner law、the modulation transfer function process and the B-spline wavelets constructing the direction tunable filter to simulate the human visual system. Establishing a visual evaluation model. The experiment derives the evaluation method has a high correlation with subjective evaluation.
Authors and Affiliations
Jin Hong-Jiao
Keywords
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- EP ID EP413448
- DOI 10.26480/icnmim.01.2018.73.75
- Views 88
- Downloads 0
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