Gradient magnitude similarity deviation on multiple scales for color image quality assessment

Recently, various image quality assessment (IQA) metrics based on gradient similarity have been developed. In this paper, we extend the work of gradient magnitude similarity deviation (GMSD) and propose a more efficient metric. First, a novel similarity index is proposed, which gives the flexibility...

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Bibliographic Details
Main Authors: Bo Zhang, Sander, Pedro V., Bermak, Amine
Format: Conference Proceeding
Language:English
Subjects:
Chromatic Distortion
Color
Distortion
Distortion measurement
Gradient Magnitude Similarity
Gray-scale
Image quality
Image Quality Assessment (IQA)
Indexes
Multi-scale
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Description
Summary:Recently, various image quality assessment (IQA) metrics based on gradient similarity have been developed. In this paper, we extend the work of gradient magnitude similarity deviation (GMSD) and propose a more efficient metric. First, a novel similarity index is proposed, which gives the flexibility to tune the masking parameter to more closely match the human vision system (HVS). Then, we propose a multi-scale GMSD method by incorporating scores of luminance distortion at different scales. Furthermore, a method for measuring chromatic distortions in YIQ color space based on our metric is proposed. The final IQA index, MS-GMSD c , is obtained by combining luminance and chrominance scores. Experimental results on four comprehensive datasets clearly show that, compared with 14 state-of-the-art IQA methods, our method achieves the best performance for both grayscale and chromatic image assessment.
ISSN:2379-190X
DOI:10.1109/ICASSP.2017.7952357