Window effect of evaluation method of the structural similarity
-
Corresponding author:
ZHANG Hexin, 17792616386@163.com
;
-
Received Date:
2015-11-09
Accepted Date:
2015-11-24
-
Abstract
In order to improve evaluation effect of structural similarity index image, the traditional window selection criterion was improved. By contrasting the window evaluation value before and after improvement, the best window for different databases and different types of distortion was obtained. The results show that the traditional single window does not get the best evaluation result, and the widely-used Gaussian weighted window with standard deviation of 1.5 does not better than the ordinary square window. The optimal windows of different types of image distortion are also different. From the experimental results, for luminance window W1, the bigger the window, the better the evaluation result. And for contrast and structure window W2, the evaluation result is best when W2=7. The results play an important role on optimizing the evaluation method of structural similarity index.
-
-
References
|
[1]
|
WANG Z, BOVIK A, SHEIKH H, et al. Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,4(13):600-612. |
|
[2]
|
WANG Z, BOVIK A. A universal image quality index[J]. IEEE Signal Processing Letters,2002,3(9):81-84. |
|
[3]
|
MIAO Y, YI S L, HE J F. Image quality assessment of feature similarity combined with gradient information[J].Journal of Image and Graphics,2015,20(6):749-755(in Chinese). |
|
[4]
|
SHEIKH H, SABIR M, BOVIK A. A statistical evaluation of recent full reference image quality assessment algorithms[J]. IEEE Transactions on Image Processing,2006,11(15):3440-3451. |
|
[5]
|
ZHANG Z D, CHEN J, WANG G W, et al. Evaluation method of super-resolution restoration based on SSIM NCCDFT[J]. Chinese Journal of Liquid Crystals and Displays,2015,30(4):713-721(in Chinese). |
|
[6]
|
YUAN Y C, LIU Y P, GAO H W. Image quality assessment method based on edge structure similarity[J]. Application Research of Computers,2015,32(9):2870-2873(in Chinese). |
|
[7]
|
SHI M D,YAO J H,BAI T C. Algorithm of image quality evaluation with gabor transfer function similarity measure[J]. Bulletin of Science and Technology,2014,30(10):133-135(in Chinese). |
|
[8]
|
JIANG W F,YANG P Z,ZHANG H Y, et al.Image quality evaluation based on human visual[J]. Computer Simulation,2015,32(5):213-217(in Chinese). |
|
[9]
|
LARSON E C, CHANDLER D M. Most apparent distortion:full-reference image quality assessment and the role of strategy[J].Journal of Electronic Imaging,2010,19(1):6-11. |
|
[10]
|
PONOMARENKO N, LUKIN V, ZEIENSKY A, et al.TID2008-a database for evaluation of full-reference visual quality assessment metrics[J]. Advances of Modern Radioelectronics,2009,10(5):30-45. |
|
[11]
|
LI Q,LIU Z,NAN B B. Improved image super-resolution reconstruction based neighbor embedding[J]. Laser Technology,2015,39(1):13-18(in Chinese). |
-
-
Proportional views
-
Map
DownLoad: