Image defogging algorithm based on boundary constraint and context regularization

A boundary constraint and context technology, applied in the field of computer vision, can solve the problems of reduced image contrast, color distortion, and reduced scene visibility

Inactive Publication Date: 2016-10-12
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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Problems solved by technology

[0002] Under foggy conditions, the scattering effect of atmospheric particles often leads to a decrease in the contrast of the captured image and color distortion, which greatly reduces the visibility of the scene and brings great difficulties to applications in the fields of outdoor video surveillance, t...

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  • Image defogging algorithm based on boundary constraint and context regularization
  • Image defogging algorithm based on boundary constraint and context regularization
  • Image defogging algorithm based on boundary constraint and context regularization

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Embodiment 1

[0052] Embodiment 1: Taking the defogging of a single image as an example, the present invention will be further described in detail with reference to the accompanying drawings.

[0053] According to the physical characteristics of light transmission in foggy days, in the field of computer vision and graphics, the optical model of foggy images can be described as follows

[0054] I(x)=J(x)t(x)+A(1-t(x)), (1)

[0055] In formula (1): I(x) is the foggy image (that is, the input image); J(x) is the scene radiance (that is, the restored fog-free image); t(x) is the optical path propagation map, describing the scene transmission rate; A is atmospheric light. The purpose of defogging is to restore t(x) and A from I(x), and then restore the haze-free image J(x).

[0056] The present invention uses an effective regularization method to dehaze a single image, and dehazing a single image is essentially an under-constrained problem. The general principle for solving this type of problem ...

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Abstract

In order to improve the accuracy and the reduction degree of a defogging algorithm to cause the accuracy and the reduction degree of the defogging algorithm to meet instantaneity requirements, the invention puts forward an image defogging algorithm based on boundary constraint and context regularization by aiming at a specific problem of defogging. The image defogging algorithm comprises the following steps: firstly, on the basis of a physical model, estimating sky brightness; then, on the basis of the boundary constraint and the context regularization, calculating accurate scene transmissivity; and finally, under the frame of an atmosphere scattering model, utilizing the obtained scene transmissivity to defog an image to obtain a clear fogless image. The algorithm carries out accurate estimation on the basis of the boundary constraint and the context regularization, meanwhile, a tolerance mechanism is used for correcting the scene transmissivity, and the accurate scene transmissivity can be accurately calculated so as to greatly improve an image defogging effect.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an image defogging algorithm based on boundary constraints and context regularization. Background technique [0002] Under foggy conditions, the scattering effect of atmospheric particles often leads to a decrease in the contrast of the captured image and color distortion, which greatly reduces the visibility of the scene and brings great difficulties to applications in the fields of outdoor video surveillance, transportation, and military reconnaissance. Therefore, it is of great practical significance to improve the clarity of foggy images and correct the color shift phenomenon. The current advanced defogging algorithms, after testing, will cause a certain degree of distortion in the restored image to varying degrees. Contents of the invention [0003] For the specific problem of image defogging, in order to improve the accuracy and restoration of the defogging algorithm and me...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/40G06T7/00
CPCG06T5/003G06T2207/30232G06T2207/30236
Inventor 谭树人张斯尧马昊辰
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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