We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Blind image quality assessment utilising local mean eigenvalues.
- Authors
Jiachen Yang; Kyohoon Sim; Bin Jiang; Wen Lu
- Abstract
Eigenvalues are intrinsic and representative values of a square matrix. They have thus been used in many image processing areas due to their important application value, but not in the image quality assessment (IQA) field. In this Letter, the authors study the correlation between local mean eigenvalues (LMEs) and perceptual quality of images, and demonstrate the applicability of LMEs in IQA. The LMEs are related to structural complexity of images. The LMEs and natural scene statistics features are utilised for a sparse dictionary learning. Experimental results conducted on promising IQA databases show their method's superiority in comparison with top-performing blind IQA metrics.
- Subjects
EIGENVALUES; IMAGE processing; EIGENANALYSIS; IMAGING systems; ALGORITHMS
- Publication
Electronics Letters (Wiley-Blackwell), 2018, Vol 54, Issue 12, p754
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2018.0958