Single Image Haze Removal Using Dark Channel Prior (Supplementary Materials)

Paper ID: 877

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1. Additional results

(click to see full resolution image)

i nput haze image | our result | input haze image | our result
input haze image | our result | input haze image (from [2]) | our result
input haze image (from [2]) | our result | input haze image (from [2]) | our result

2 . Intermediate results and comparison

input haze image | dark channel
transmission map before soft matting | transmission map after soft matting | our result
transmission map of Fattal's technique [2] | Fattal's result [2] | h istogram equalization

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3. Comparison: Stadium

input haze image
Fattal's result [2] | Tan's result [1]
histogram equalization | our result

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4. Comparison: NYC 1

(Expect for our result and depth map, other images come from [3].)

input haze image | Fattal's result [2] | Tan's result [1]
Kopf et al's result [3] | our result | our depth map

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5. Comparisons: NYC 2

(Expect for our result and depth map, other images come from [3].)

input haze image | Fattal's result [2] | Tan's result [1]
Kopf et al's result [3] | our result | our depth map

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[1] R. Tan. Visibility in bad weather from a single image. CVPR, 2008 (http://www.commsp.ee.ic.ac.uk/~rtan/fog/index.html)

[2] R. Fattal. Single image dehazing. In SIGGRAPH, pages 1¨C9, 2008 (http://www.cs.huji.ac.il/~raananf/projects/defog/index.html)

[3] J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski. Deep photo: Model-based photograph enhancement and viewing. SIGGRAPH Asia, 2008 (http://johanneskopf.de/publications/deep_photo/index.html)

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