| Paper: | IMDSP-P17.1 | ||
| Session: | Image Quality Assessment and Enhancement | ||
| Time: | Friday, May 19, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image Quality Assessment | ||
| Title: | EDGE-BASED STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT | ||
| Authors: | Guan-Hao Chen, Chun-Ling Yang, South China University of Technology, China; Lai-Man Po, City University of Hong Kong, China; Sheng-Li Xie, South China University of Technology, China | ||
| Abstract: | 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 blurred images. Based on this, we develop an improved method which is called Edge-based Structural Similarity (ESSIM). Experiment results show that ESSIM is more consistent with HVS than SSIM and PSNR especially for the blurred images. | ||
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