Abstract
We study the problem of automatically correcting the exposure of an input image. Generic auto-exposure correction methods usually fail in individual over-/under-exposed regions. Interactive corrections may fix this issue, but adjusting every photograph requires skill and time. This paper will automate the interactive correction technique by estimating the image specific S-shaped non-linear tone curve that best fits the input image. Our first contribution is a new Zone-based region-level optimal exposure evaluation, which would consider both the visibility of individual regions and relative contrast between regions. Then a detail-preserving S-curve adjustment is applied based on the optimal exposure to obtain the final output. We show that our approach enables better corrections comparing with popular image editing tools and other automatic methods.
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References
Russ, J.C.: Image Processing HandBook, 3rd edn. CRC Press (1998)
Zuiderveld, K.: Contrast limited adaptive histograph equalization. In: Graphic Gems IV, pp. 474–485. Academic Press Professional, San Diego (1994)
CS5, A.P.: Adjust color and tonality with curves, Adobe Systems Inc. San Jose, CA (2010)
Bychkovsky, V., Paris, S., Chan, E., Durand, F.: Learning photographic global tonal adjustments with a database of input/output image pairs. In: CVPR (2011)
Ansel, A.: The Negative. The Ansel Adams Photography Series (1981)
Battiato, S., Bosco, A., Castorina, A., Messina, G.: Automatic image enhancement by content dependent exposure correction. Journal on Applied Signal Processing 12, 1849–1860 (2004)
Bhukhanwala, S.A., Ramabadran, T.V.: Automated global enhancement of digitized photographs. IEEE Trans. on. Consumer Electronics 40, 1–10 (1994)
dong Lee, K., Kim, S., Kim, S.D.: Dynamic range compression based on statistical analysis. In: ICIP (2009)
Kang, S.B., Kapoor, A., Lischinski, D.: Personalization of image enhancement. In: CVPR (2010)
Sobol, R.: Improving the retinex algorithm for rendering wide dynamic range photographs. Journal of Electronic Imaging 13(1) (2004)
Chesnokov, V.: Dynamic range compression preserving local image contrast. GB Patent 2417381 (2006)
Jobson, D.J., Rahman, Z., Woodell, G.A.: Properties and performance of a center/surround retinex. IEEE Trans. on Image Processing 6, 451–462 (1997)
Nayar, S.K., Branzoi, V.: Adaptive dynamic range imaging: Optical control of pixel exposures over space and time. In: ICCV (2003)
Shimizu, S., Kondo, T., Kohashi, T., Tsuruta, M., Komuro, T.: A new algorithm of exposure control based on fuzzy logic for video cameras. In: ICCE (1992)
Yang, M., Wu, Y., Crenshaw, J., Augustine, B., Mareachen, R.: Face detection for automatic exposure control in handheld camera. In: ICVS (2006)
Ilstrup, D., Manduchi, R.: One-Shot Optimal Exposure Control. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 200–213. Springer, Heidelberg (2010)
Brajovic, V.: Brightness perception, dynamic range and noise: a unifying model for adaptive image sensors. In: CVPR (2004)
Safonov, I.: Automatic correction of amateur photos damaged by backlighting. GraphiCon (2006)
Mukherjee, J., Mitra, S.K.: Enhancement of color images by scaling the dct coefficients. IEEE Trans. on Image Processing 17, 1783–1794 (2008)
Ovsiannikov, I.: Backlit subject detection in an image. US Patent 7813545 (2010)
Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. SIGGRAPH (2002)
Mertens, T., Kautz, J., Reeth, F.V.: Exposure fusion. In: Pacific Conf. on Computer Graphics and Applications (2007)
Dale, K., Johnson, M.K., Sunkavalli, K., Matusik, W., Pfister, H.: Image restoration using online photo collections. In: ICCV (2009)
Guo, D., Cheng, Y., Zhuo, S., Sim, T.: Correcting over-exposure in photographs. In: Proc. IEEE CVPR, pp. 515–521 (2010)
Lischinski, D., Farbman, Z., Uyttendaele, M., Szeliski, R.: Interactive local adjustment of tonal values. ACM Trans. on Graph. 25(3), 646–653 (2006)
Xue, S., Agarwala, A., Dorsey, J., Rushmeier, H.: Understanding and improving the realism of image composites. ACM Trans. Graph. (2012)
Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. IJCV 59 (2004)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: CVPR (2001)
Tao, L., Yuan, L., Sun, J.: Skyfinder: Attribute-based sky image search. ACM Trans. Graph. 28(3), 68:1–68:5 (2009)
He, K., Sun, J., Tang, X.: Guided Image Filtering. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 1–14. Springer, Heidelberg (2010)
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Yuan, L., Sun, J. (2012). Automatic Exposure Correction of Consumer Photographs. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds) Computer Vision – ECCV 2012. ECCV 2012. Lecture Notes in Computer Science, vol 7575. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33765-9_55
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DOI: https://doi.org/10.1007/978-3-642-33765-9_55
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