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2010
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A two-stage framework for blind image quality assessment

11 years 7 months ago
A two-stage framework for blind image quality assessment
Most present day no-reference/blind image quality assessment (NR IQA) algorithms are distortion specific - i.e., they assume that the distortion affecting the image is known. Here we propose a novel two stage framework for distortion-independent blind image quality assessment based on natural scene statistics (NSS). The proposed framework is modular in that it can be extended beyond the distortion-pool considered here, and each module proposed can be replaced by better-performing ones in the future. We describe a 4-distortion demonstration of the proposed framework and show that it performs competitively with the full-reference peak-signal-to-noise-ratio on the LIVE IQA database. A software release of the proposed index has been made available online: http://live.ece.utexas.edu/research/quality/BIQI 4D release.zip.
Anush K. Moorthy, Alan C. Bovik
Added 03 Mar 2011
Updated 03 Mar 2011
Type Journal
Year 2010
Where ICIP
Authors Anush K. Moorthy, Alan C. Bovik
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