Single image quick defogging method based on improved atmospheric scattering model

An atmospheric scattering model, a single image technology, applied in the field of image processing, can solve the problems of unable to recover albedo, redundant calculation and so on

Active Publication Date: 2016-10-26
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The He method sets the atmospheric light of the scattering model as a global constant, and considers that each scene in the image is directly irradiated by atmospheric light, and for different scenes, the light intensity is likely to be different, so set the atmospheric light as a global constant Has obvious limitations, so no matter how you set the atmospheric light value, you can't restore the "idea...

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  • Single image quick defogging method based on improved atmospheric scattering model
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  • Single image quick defogging method based on improved atmospheric scattering model

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[0052] specific implementation plan

[0053] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0054] The present invention takes the scene as the basic unit, redefines the atmospheric light A and transmittance t in the original scattering model as scene incident light L and scene transmittance T, and considers that the scene illuminance and scene transmittance in each scene are constant value, the improved scattering model is expressed as:

[0055] I(x,y)=L(i)·ρ(x,y)·T(i)+L(i)·(1-T(i)) (x,y)∈Ω i

[0056] In the above formula, i represents the scene label number, Ω i , L(i), and T(i) represent the position index set, scene incident light, and scene transmittance under the scene with the label number i, respectively.

[0057]Then, using the fog concentration as the basis for scene segmentation, the scene segmentation problem can be transformed into a clustering problem for the fog concentration distribution map, which c...

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Abstract

The invention discloses a single image quick defogging method based on an improved atmospheric scattering model. The method, to solve the detects of an atmospheric scattering model, is characterized by, redefining atmospheric light and transmittance in an original scattering model respectively, and on the basis of the improved model, to begin with, carrying out scene segmentation on a fogged image according to fog concentration characteristics; then, by means of a corrosion method proposed in a He method, and through an averaging strategy, estimating scene incident light L; next, by maximizing contrast information of each scene, roughly estimating the scene transmissivity T, and providing a transmissivity adaptive adjustment mechanism based on environment characteristics to realize flexible defogging; and finally, providing a guided total variation model to carry out edge optimization on the initial estimation result, and importing the optimization result to the improved scattering model to restore a clear image. The method can effectively solve the problems of illumination non-uniformity, over enhancement and oversaturation and the like, and is superior to existing mainstream defogging methods in the aspects of defogging capacity, universality and defogging speed.

Description

technical field [0001] The invention relates to a method for quickly defogging a single image based on an improved atmospheric scattering model, and belongs to the technical field of image processing. Background technique [0002] Due to the influence of smog in outdoor scenes, the imaging effect is often poor. The reason is that suspended water droplets and aerosols in the atmosphere can scatter, absorb, and refract reflected light, resulting in a decrease in the contrast, saturation, and color shift of the captured image, which cannot guarantee the execution accuracy of the outdoor machine vision system. Such as license plate number recognition, fire monitoring, etc. Therefore, how to effectively defog has become one of the research hotspots in the field of image processing. [0003] Image dehazing methods can be roughly divided into two categories: image enhancement dehazing and physical model-based image dehazing. The former does not consider the degradation mechanism...

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Application Information

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IPC IPC(8): G06T5/00G06T7/00
CPCG06T5/003G06T2207/30192
Inventor 张登银鞠铭烨李世锋
Owner NANJING UNIV OF POSTS & TELECOMM
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