Optimal Method for Fast Dehazing of Images Based on Black Channel
A technology of black channel and optimization method, which is applied in the field of fast dehazing and optimization of images based on black channel, which can solve the problems of inability to deal with dense fog images, color distortion, and easy distortion of results.
Active Publication Date: 2015-11-18
SHANGHAI JIAOTONG UNIV
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Tan (RTan.Visibilityinbadweatherfromasingleimage[A].ProcofIEEECVPR[C].Anchorage, Alaska:IEEEComputerSociety, 2008:1-8.) observed that images in sunny days have higher contrast than images in foggy days, and assume that neighboring pixels have the same The attenuation degree, using the method of maximizing local contrast to restore the color contrast of the image, has achieved good results in some scene images, but this method does not conform to the real physical model, and the obtained results are easily distorted
Fattal (RFattal.Singleimagedehazing[A].ProcofSIGGRAPH[C].LosAngeles:ACMTransactionsonGraphics,2008,27(3):1-9.) assumes that the shadow and the transmittance are unrelated, and uses the ICA model to estimate the transmittance, so as to get the Fog results, but this method cannot handle dense fog images very well
He (KHe, JSun, XOTang.Singleimagehazeremovingdarkchannelprior[J].IEEETransactionsonPatternAnalysisandMachineIntelligence,2011,33:1-13.) and others proposed the dark channel priority rule (statistical results show that most outdoor photos conform to this rule), using this rule to Fog, for most outdoor scene haze images can get good results, but there will be deviations in some areas where the black channel is not close to 0, using the same atmospheric light value for the entire image will lead to color distortion in local areas of the restoration result , and the softmatting algorithm for optimizing the transmission map consumes a lot of time and memory
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[0052] Below in conjunction with accompanying drawing and embodiment, the present invention is described in detail: present embodiment is the example that carries out under the premise of technical solution of the present invention, has provided detailed implementation mode and process, but protection scope of the present invention should not be limited to Examples described below.
[0053] Please see first Figure 5 , Figure 5 It is a flowchart of the present invention, and as shown in the figure, the specific implementation steps of the present invention are as follows:
[0054] The first step is to input the image to be processed;
[0055] The second step is to select the sky area or the most foggy area:
[0056] For an image containing a sky area, select the sky area, and then select atmospheric light A in the sky area;
[0057] For an image that does not contain a sky area, select the area with the thickest fog, and then select atmospheric light A in the area with th...
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Provided is an image quick defogging optimized method based on a black channel. Edges of an image and non-edge areas of the image are processed through different templates to obtain a transmission picture, and a precise atmosphere light value is obtained by the fact that a sky area or an area with thickest fog is divided. The method greatly reduces consumption, improves the image recovery speed, and improves image recovery effects.
Description
technical field [0001] The invention relates to image processing technology, in particular to a black channel-based fast image defogging optimization method. Background technique [0002] At present, in the existing image defogging methods, using multiple images in the same scene at different shooting angles or under different weather conditions to process the defogging can achieve certain results, but in practical applications, it is difficult in a short time Get multiple images. Using geometric models of known scenes, or using artificially input depth information also limits the practicality of the method. [0003] In recent years, great progress has been made in dehazing with a single image. Tan (RTan.Visibilityinbadweatherfromasingleimage[A].ProcofIEEECVPR[C].Anchorage, Alaska:IEEEComputerSociety, 2008:1-8.) observed that images in sunny days have higher contrast than images in foggy days, and assume that neighboring pixels have the same Attenuation degree, using the ...
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IPC IPC(8): G06T5/00
Inventor 李元祥褚宏莉刘瑾瑾
Owner SHANGHAI JIAOTONG UNIV