Translator Disclaimer
1 January 2010 New strategy for image and video quality assessment
Author Affiliations +
Abstract
Image and video quality assessment (QA) is a critical issue in image and video processing applications. General full-reference (FR) QA criteria such as peak signal-to-noise ratio (PSNR) and mean squared error (MSE) do not accord well with human subjective assessment. Some QA indices that consider human visual sensitivity, such as mean structural similarity (MSSIM) with structural sensitivity, visual information fidelity (VIF) with statistical sensitivity, etc., were proposed in view of the differences between reference and distortion frames on a pixel or local level. However, they ignore the role of human visual attention (HVA). Recently, some new strategies with HVA have been proposed, but the methods extracting the visual attention are too complex for real-time realization. We take advantage of the phase spectrum of quaternion Fourier transform (PQFT), a very fast algorithm we previously proposed, to extract saliency maps of color images or videos. Then we propose saliency-based methods for both image QA (IQA) and video QA (VQA) by adding weights related to saliency features to these original IQA or VQA criteria. Experimental results show that our saliency-based strategy can approach more closely to human subjective assessment compared with these original IQA or VQA methods and does not take more time because of the fast PQFT algorithm.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Qi Ma, Liming Zhang, and Bin Wang "New strategy for image and video quality assessment," Journal of Electronic Imaging 19(1), 011019 (1 January 2010). https://doi.org/10.1117/1.3302129
Published: 1 January 2010
JOURNAL ARTICLE
14 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

New quality assessment method for dense light fields
Proceedings of SPIE (November 02 2018)
Multiperspective mosaics for under-vehicle inspection
Proceedings of SPIE (September 02 2004)
New vistas in image and video quality
Proceedings of SPIE (March 14 2007)

Back to Top