Parametric meta-filter modeling from a single example pair

Visual Computer

Volumn 30, Issue 6-8, 2014, Pages 673-684

  Huang, Shi Sheng ^a   Zhang, Guo Xin ^a   Lai, Yu Kun ^b   Kopf, Johannes ^c   Cohen Or, Daniel ^d   Hu, Shi Min ^a  

^a TSINGHUA UNIVERSITY   (China)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c MICROSOFT RESEARCH   (United States)

^d TEL AVIV UNIVERSITY   (Israel)

Author keywords

Filter space; Image filters; Learning and Transfer; Sparsity

Indexed keywords

SOFTWARE ENGINEERING;

FILTER SPACE; IMAGE FILTERS; LEARNING AND TRANSFER; LINEAR COMBINATIONS; ORIGINAL IMAGES; PARAMETRIC MODELING; PARAMETRIC REPRESENTATIONS; SPARSITY;

INTERFACES (COMPUTER);

EID: 84902199435     PISSN: 01782789     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00371-014-0973-y     Document Type: Conference Paper

References (30)

1. Hertzmann, A.; Jacobs, C.E.; Curless, N.O.B.; Salesin, D.H.: Image analogies. In: Proceedings of ACM SIGGRAPH, pp. 327-340 (2001)
2. Wang, B.; Yu, Y.; Xu, Y.-Q.: Example-based image color and tone style enhancement. ACM Trans. Graph. 30(4), 64:1-64:12 (2011)
3. Barnes, C.; Shechtman, E.; Finkelstein, A.; Goldman, D.B.: PatchMatch: a randomized correspondence algorithm for structural image editing. ACM Trans. Graph. 28(3), 24:1-24:11 (2009)
4. Liu, C.; Yuen, J.; Torralba, A.: Sift flow: dense correspondence across scenes and its applications. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 978-994 (2011)
5. Ziang, D.; Xin, Z.; Wei, C.; Xavier, T.; Dichao, P.; Qu, P.: Coherent streamline generation for 2-D vector fields. Tsinghua Sci. Technol. 17(4), 463-470 (2012)
6. Sahba, F.; Tizhoosh, H.R.: Filter fusion for image enhancement using reinforcement learning. In: Proceedings of IEEE Canadian Conference on Electrical and Computer Engineering, pp. 847-850 (2003)
7. Berthouzoz, F.; Li, W.; Dontcheva, M.; Agrawala, M.: A Framework for content-adaptive photo manipulation macros: application to face, landscape, and global manipulations. ACM Trans. Graph. 30(5), 120:1-120:14 (2011)
8. Huang, H.; Xiao, X.: Example-based contrast enhancement by gradient mapping. Vis. Comput. 26(6-8), 731-738 (2010)
9. Ji, H.; Wang, K.: Robust image deblurring with inaccurate blur kernels. IEEE Trans. Image Process. 21(4), 1624-1634 (2012)
10. Mairal, J.; Bach, F.; Ponce, J.; Sapiro, G.; Zisserman, A.: Non-local sparse models for image restoration. In: Proceedings of IEEE International Conference on Computer Vision (ICCV), pp. 2272-2279 (2009)
11. Russ, J.C.: The Image Processing Handbook, 5th edn. CRC Press, USA (2006)
12. He, K.; Sun, J, Tang, X: Guided image filtering. In: Proceedings of European Conference on Computer Vision: Part I, pp. 1-14 (2010)
13. Rudin, L.I.; Osher, S.; Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60, 259-268 (1992)
14. Li, X.-Y.; Yan, G.; Hu, S.-M.; Martin, R.R.: Mixed-domain edge-aware image manipulation. IEEE Trans. Image Process. 22(5), 1915-1925 (2013)
15. Yuan, L.; Sun, J.; Quan, L.; Shum, H.-Y.: Image deblurring with blurred/noisy image pairs. ACM Trans. Graph. 26(3), 1:1-1:10 (2007)
16. Menon, D.; Calvagno, G.: Regularization approaches to demosaicking. IEEE Trans. Image Process. 18(10), 2209-2220 (2009)
17. Joshi, N.; Szeliski, R.; Kriegman, D.J.: PSF estimation using sharp edge prediction. In: Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8 (2008)
18. Laffont, P.-Y.; Bousseau, A.; Drettakis, G.: Rich intrinsic image decomposition of outdoor scenes from multiple views. IEEE Trans. Vis. Comput. Graph. 19(2), 210-224 (2013)
19. Hu, S.-M.; Chen, T.; Xu, K.; Cheng, M.-M.; Martin, R.R.: Internet visual media processing: a survey with graphics and vision applications. Vis. Comput. 29(5), 393-405 (2013)
20. Kang, S.B.; Kapoor, A.; Lischinski, D.: Personalization of image enhancement/CVPR 1799-1806 (2010)
21. 1regularized problems. SIAM J. Imaging Sci. 2(2), 323-343 (2009)
22. Davis, T.A.: CHOLMOD: a sparse Cholesky factorization and modification package. University of Florida, Florida (2011)
23. Bychkovsky, V.; Paris, S.; Chan, E.; Durand, F.: Learning photographic global tonal adjustment with a database of input/output image pairs. CVPR 97-104 (2011)
24. Wang, X.; Jia, J.; Cai, L.: Affective image adjustment with a single word. Vis. Comput. 29(11), 1121-1133 (2013)
25. Wang, X.-H.; Jia, J.; Liao, H.-Y.; Cai, L.-H.: Affective image colorization. J. Comput. Sci. Technol. 27(6), 1119-1128 (2012)
26. Tang, Y.; Shi, X.; Xiao, T.; Fan, J.: An improved image analogy method based on adaptive CUDA-accelerated neighborhood matching framework. Vis. Comput. 28(6-8), 743-753 (2012)
27. Ling, Y.; Yan, C.; Liu, C.; Wang, X.; Li, H.: Adaptive tone-preserved image detail enhancement. Vis. Comput. 28(6-8), 733-742 (2012)
28. Zang, Y.; Huang, H.; Li, C.-F.: Stroke style analysis for painterly rendering. J. Comput. Sci. Technol. 28(5), 762-775 (2013)
29. Wang, Z.; Bovik, A.C.; Sheikh, H.R.; Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Proc. 13(4), 600-612(2004)
30. Zhuo, S.; Luo, X.; Artusi, A.: A novel image decomposition approach and its applications. Visual Comput. 29(10), 1011-1023 (2013)