Defocus map estimation from a single image
Pattern Recognition
Motion deblurring from a single image using gradient enhancement
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
VEA 2012: Efficient antialiased edit propagation for images and videos
Computers and Graphics
Image dehazing algorithm based on atmosphere scatters approximation model
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Adaptive background defogging with foreground decremental preconditioned conjugate gradient
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Towards a comprehensive computational model foraesthetic assessment of videos
Proceedings of the 21st ACM international conference on Multimedia
Perception granular computing in visual haze-free task
Expert Systems with Applications: An International Journal
Underwater image dehazing using joint trilateral filter
Computers and Electrical Engineering
Weighted haze removal method with halo prevention
Journal of Visual Communication and Image Representation
Evaluating the effect of diffuse light on photometric stereo reconstruction
Machine Vision and Applications
Smoke Detection in Video: An Image Separation Approach
International Journal of Computer Vision
Depth sculpturing for 2D paintings: A progressive depth map completion framework
Journal of Visual Communication and Image Representation
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In this paper, we propose a simple but effective image prior—dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key observation—most local patches in outdoor haze-free images contain some pixels whose intensity is very low in at least one color channel. Using this prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high-quality haze-free image. Results on a variety of hazy images demonstrate the power of the proposed prior. Moreover, a high-quality depth map can also be obtained as a byproduct of haze removal.