Gradient-Based Structural Similarity for Image Quality Assessment

@article{Chen2006GradientBasedSS,
  title={Gradient-Based Structural Similarity for Image Quality Assessment},
  author={Guan-Hao Chen and Chun-Ling Yang and Sheng-Li Xie},
  journal={2006 International Conference on Image Processing},
  year={2006},
  pages={2929-2932}
}
Objective quality assessment has been widely used in image processing for decades and many researchers have been studying the objective quality assessment method based on human visual system (HVS). Recently the structural similarity (SSIM) is proposed, under the assumption that the HVS is highly adapted for extracting structural information from a scene, and simulation results have proved that it is better than PSNR (or MSE), By deeply studying the SSIM, we find it fails in measuring the badly… CONTINUE READING
Highly Influential
This paper has highly influenced 21 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 181 citations. REVIEW CITATIONS
110 Citations
5 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 110 extracted citations

181 Citations

0102030'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 181 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…