Image quality assessment scheme with topographic independent components analysis for sparse feature extraction. Issue 7 (1st March 2014)

• Record Type: Journal Article
• Authors: Ding, Yong; Dai, Hang; Wang, Shaoze
• Is Part Of: Electronics letters. Volume 50:Issue 7(2014)
• Page Start: 509
• Page End: 510
• Publication Date: 2014-03-01
• Subjects: feature extraction -- independent component analysis; image quality assessment scheme -- topographic independent components analysis -- sparse feature extraction -- no‐reference objective metric -- distortion types; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2013.4298
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.