Context-based automatic local image enhancement

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7572 LNCS, Issue PART 1, 2012, Pages 569-582

  Hwang, Sung Ju ^a   Kapoor, Ashish ^b   Kang, Sing Bing ^b  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COARSE-TO-FINE; CONTEXT-BASED; DESCRIPTORS; ENHANCEMENT OPERATIONS; GAUSSIAN RANDOM FIELDS; GLOBAL ENHANCEMENT; GLOBAL STATISTICS; IMAGE STATISTICS; MECHANICAL TURKS; PERCEPTUAL QUALITY; USER STUDY;

GAUSSIAN DISTRIBUTION; IMAGE ENHANCEMENT; PIXELS;

COMPUTER VISION;

EID: 84867881136     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33718-5_41     Document Type: Conference Paper

References (19)

1. Luo, Y., Tang, X.: Photo and Video Quality Evaluation: Focusing on the Subject. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part III. LNCS, vol. 5304, pp. 386-399. Springer, Heidelberg (2008)
2. Finlayson, G., Trezzi, E.: Shades of gray and colour constancy. In: 1st Conf. on Color Imaging, pp. 37-41 (2004)
3. van deWeijer, J., Gevers, T., Gijsenij, A.: Edge-based color constancy. IEEE Trans. on Image Processing 16(9) (2007)
4. Gehler, P.V., Rother, C., Blake, A., Minka, T., Sharp, T.: Bayesian color constancy revisited. In: CVPR (2008)
5. Rosenberg, C., Minka, T., Ladsariya, A.: Bayesian color constancy with non-Gaussian models. In: NIPS (2003)
6. Kang, S.B., Kapoor, A., Lischinski, D.: Personalization of image enhancement. In: CVPR (2010)
7. Caicedo, J.C., Kapoor, A., Kang, S.B.: Collaborative personalization of image enhancement. In: CVPR (2011)
8. Bychkovsky, V., Paris, S., Chan, E., Durand, F.: Learning photographic global tonal adjustment with a database of input/output image pairs. In: CVPR (2011)
9. Reinhard, E., Ward, G., Pattanaik, S., Debevec, P., Heidrich, W., Myszkowski, K.: High Dynamic Range Imaging: Acquisition, Display, and Image-based Lighting, 2nd edn. Elsevier (Morgan Kaufmann) (2010)
10. Fattal, R., Lischinski, D., Werman, M.: Gradient domain high dynamic range compression. ACM TOG and SIGGRAPH 21, 249-256 (2002)
11. Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. ACM TOG and SIGGRAPH 21 (2002)
12. Durand, F., Dorsey, J.: Fast bilateral filtering for the display of high-dynamic-range images. ACM TOG and SIGGRAPH 21 (2002)
13. Bae, S., Paris, S., Durand, F.: Two-scale tone management for photographic look. ACM TOG and SIGGRAPH 25 (2006)
14. Dale, K., Johnson, M.K., Sunkavalli, K., Matusik,W., Pfister, H.: Image restoration using online photo collections. In: ICCV (2009)
15. Torralba, A.: Contextual priming for object detection. IJCV 53, 169-191 (2003)
16. Harel, J., Koch, C., Perona, P.: Graph-based visual saliency. In: NIPS (December 2006)
17. Liu, C., Yuen, J., Torralba, A., Sivic, J., Freeman, W.T.: SIFT Flow: Dense Correspondence across Different Scenes. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part III. LNCS, vol. 5304, pp. 28-42. Springer, Heidelberg (2008)
18. Jain, P., Kulis, B., Dhillon, I., Grauman, K.: Online metric learning and fast similarity search. In: NIPS (2008)
19. Jain, P., Kulis, B., Grauman, K.: Fast image search for learned metrics. In: CVPR (2008)