NDLI: Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior

Content Provider	IET Digital Library
Author	Yu, Teng Riaz, Irfan Piao, Jingchun Shin, Hyunchul
Abstract	The authors propose a novel and efficient method for single image dehazing. To accelerate the transmission estimation process, a block-to-pixel interpolation method is used for fine dark channel computation, in which the block-level dark channel is first computed, and then the fine pixel-level dark channel is obtained by a weighted voting of the block-level dark channel to preserve edges and smooth out texture noise. This technique can be used for a direct transmission map generation without a computationally expensive refinement step. Since the dark channel prior (DCP) is not valid in bright (sky) regions, they propose an adaptive DCP modelled by a Gaussian curve that produces a more natural recovered image of the sky and other bright regions. In addition, a scaling method for transmission map computation is proposed to further accelerate the dehazing method. Through experiments, they show that the proposed adaptive block-to-pixel technique is about 30 times faster and produces improved recovered images than the well-known state-of-the-art DCP approach.
Starting Page	725
Ending Page	734
Page Count	10
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 9, Sep (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0087
Journal	IET Image Processing
Publisher Date	2015-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Dark Channel Block-level Dark Channel Block-to-pixel Interpolation Method Computer Vision And Image Processing Technique DCP Direct Transmission Map Generation Fine Pixel-level Dark Channel Gaussian Channel Gaussian Curve Gaussian Noise Image Texture Image Texture Noise Interpolation Interpolation And Function Approximation Numerical Analysis Optical, Image And Video Signal Processing Single Image Dehazing Statistics Transmission Estimation Processing Weighted Voting
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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