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Image quality assessment scheme with topographic independent components analysis for sparse feature extraction
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Image quality assessment scheme with topographic independent components analysis for sparse feature extraction
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Journal Article
Image quality assessment scheme with topographic independent components analysis for sparse feature extraction
2014
Overview
A no-reference objective metric for image quality assessment by integrating the topographic independent components analysis into feature extraction is presented. By taking the topographic relationship among the initially independent features into consideration, it extracts the features of more sparsity or independency which is essentially related to inherent quality. Evaluation results demonstrate that the proposed metric is able to predict the image quality accurately across various distortion types.
Publisher
The Institution of Engineering and Technology,Institution of Engineering and Technology
Subject
/ Computer science; control theory; systems
/ Data processing. List processing. Character string processing
/ Exact sciences and technology
/ Image and vision processing and display technology
/ image quality assessment scheme
/ independent component analysis
/ Memory organisation. Data processing
/ no‐reference objective metric
/ Pattern recognition. Digital image processing. Computational geometry
/ Software
