Perceptual quality assessment for color image inpainting

2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Volumn , Issue , 2013, Pages 398-402

  Trung, A Dang Thanh ^a   Beghdadi, B Azeddine ^a   Larabi, C Chaker ^b  

^a UNIVERSITÉ PARIS 13   (France)

^b UNIVERSITÉ DE POITIERS   (France)

Author keywords

image completion; Image inpainting; image quality assessment; inpainting quality assessment

Indexed keywords

PETROLEUM RESERVOIR EVALUATION;

COLOR IMAGE INPAINTING; IMAGE COMPLETION; IMAGE INPAINTING; IMAGE QUALITY ASSESSMENT; INPAINTING TECHNIQUES; LOW-LEVEL FEATURES; PERCEPTUAL QUALITY; QUALITY ASSESSMENT;

IMAGE QUALITY;

EID: 84897716966     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2013.6738082     Document Type: Conference Paper

References (22)

1. P. Arias, G. Facciolo, V. Caselles, and G. Sapiro, "A variational framework for exemplar-based image inpainting," Journal International Journal of Computer Vision, vol. 93, pp. 319-347, 2011
2. J. Shen and T.F. Chan, "Mathematical models for local nontexture inpainting," IEEE Conference on Computer Vision and Pattern Recognition, pp. 1019-1043, 2002
3. D. Tschumperle, "Fast anisotropic smoothing of multivalued images using curvature-preserving pdes," International Journal of Computer Vision, vol. 68, pp. 6582, 2006
4. A. Bugeau and M. Bertalmio, "Combining texture synthesis and diffusion for image inpainting," Proceeding International Conference Computer Vision Theory and Applications, p. 2633, 2009
5. A. Criminisi, P. Perez, and K. Toyama, "Region filling and object removal by exemplar-based image inpainting," IEEE Transaction of Image Processing, vol. 13 (9), pp. 1200-1212, Apr. 2004
6. Q. Zhang and J. Lin, "Exemplar-based image inpainting using color distribution analysis," Journal of Information Science and Engineering, vol. 28, pp. 641-652, 2012
7. T. T. Dang, C. Larabi, and A. Beghdadi, "Multi-resolution patch and window-based priority for digital image inpainting problem," 3rd International Conference on Image Processing Theory, Tools and Applications, 2012
8. Y. Wexler, E. Shechtman, and M. Irani, "Space-time video completion," IEEE Transactions Pattern Analysis and Machine Intelligence, vol. 29, pp. 463-476, March 2007
9. N. Komodakis and G. Tziritas, "Image completion using global optimization," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 442-452, 2006
10. Y. Pritch, E. Kav-Venaki, and S. Peleg, "Shift-map image editing," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 151-158, 2009
11. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Transactions on Image Processing, vol. 13 (4), pp. 600-612, Apr. 2004
12. Y. Shi, Y. Ding, R. Zhang, and J. Li, "Structure and hue similarity for color image quality assessment," International Conference on Electronic Computer Technology, pp. 329-333, 2009
13. A. Beghdadi and R. Iordache, "Image quality assessment using the joint space/spatial-frequency space," EURASIP Journal on Applied Signal Processing, vol. 2006, pp. 40-47, 2006
14. Z. Haddad, A. Beghdadi, A. Serir, and A. Mokraoui, "Image quality assessment based on wave atoms transform," IEEE International Conference on Image Processing ICIP2010, pp. 305-308, 2010
15. A. Maalouf and M. C. Larabi, "A grouplet-based reduced reference image quality assessment," Int. workshop on Quality of Multimedia Experience (QoMEX), pp. 59-63, 2009
16. M. V. Venkatesh and S. S. Cheung, "Eye tracking based perceptual image inpainting quality analysis," 17th IEEE International Conference on Image Processing (ICIP), pp. 1109-1112, 26-29 September 2010
17. S. Wang, H. Li, X. Zhu, and P. Li, "An evaluation index based on parameter weight for image inpainting quality," the 9th International Conference for Young Computer Scientists, vol. II, pp. 786-790, 18-21 Nov 2008
18. P. Ardis and A. Singhal, "Visual salience metric for image inpainting," Proceedings of the SPIE, vol. 7257, 2009
19. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20 (11), pp. 1254-1259, 1998
20. X. Hou and L. Zhang, "Saliency detection: A spectral residual approach," IEEE Conference on Computer Vision and Pattern Recognition, pp. 17-22, 2007
21. C. Guo, Q. Ma, and L. Zhang, "Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform," IEEE Conference on Computer Vision and Pattern Recognition, pp. 116-123, 2008
22. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, "Frequency- tuned salient region detection," IEEE International Conference on Computer Vision and Pattern Recognition, pp. 1597-1604, 2009.