3 November 2005 An improved structural similarity for image quality assessment
Author Affiliations +
Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441I (2005) https://doi.org/10.1117/12.655220
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Objective quality assessment has been widely used in image processing for its convenience. Usually human eyes are the terminal of observing images, so many researchers have been studing the objective image quality evaluation method based on Human Visual System (HVS) for decades. Although many methods have been proposed, most of them are based on error sensitivity and are not better than simple PSNR (MSE). Recently the Structural Similarity (SSIM) based on images' structural information is proposed, in which the philosophy is that the HVS is highly adapted to extract structural information from the viewing field, and simulation results have proved it is better than PSNR MSE). By deeply studing SSIM, we find it fails to measure the blurred images with a lot of flat regions and has some shortcomings in its equation. Based on this we propose an improved objective quality assessment method which is called as Gradient-based Structural Similarity (GSSIM). Experiment results show that GSSIM is more consistent with HVS than SSIM and PSNR (MSE).
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiao-zhou Pan, Chun-ling Yang, and Sheng-li Xie "An improved structural similarity for image quality assessment", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441I (3 November 2005); doi: 10.1117/12.655220; https://doi.org/10.1117/12.655220


JPEG vs. JPEG 2000 an objective comparison of image...
Proceedings of SPIE (November 01 2004)
Research on subjective stereoscopic image quality assessment
Proceedings of SPIE (January 18 2009)
Fovea based image quality assessment
Proceedings of SPIE (August 04 2010)
Optimal region-of-interest based visual quality assessment
Proceedings of SPIE (February 10 2009)
HVS-based image quality assessment for digital cinema
Proceedings of SPIE (January 18 2010)

Back to Top