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A Fast Haze Removal Method for Single Image Based on Independent Component Analysis

An independent component analysis and single image technology, applied in the field of computer vision, can solve problems such as lack of theoretical model support, high time complexity and space complexity, and achieve high color fidelity, good effect, and significant enhancement of image details Effect

Active Publication Date: 2021-09-28
SOUTHWEST JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] In view of the above-mentioned deficiencies in the prior art, the single image haze fast removal method based on independent component analysis provided by the present invention solves the lack of theoretical model support and the need for model-based haze removal methods in non-model-based haze removal methods. Carry out large-scale sparse matrix operations, problems with high time complexity and space complexity

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  • A Fast Haze Removal Method for Single Image Based on Independent Component Analysis
  • A Fast Haze Removal Method for Single Image Based on Independent Component Analysis
  • A Fast Haze Removal Method for Single Image Based on Independent Component Analysis

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Embodiment Construction

[0088] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0089] Theoretically, the atmospheric scattering model of haze weather is:

[0090] I(z)=t(z)J(z)+[1-t(z)]A(z)

[0091] Wherein I(z) is the light intensity received by the observation point z=(x, y),

[0092] t(z) is the fog propagation map,

[0093] A(z) is the atmospheric light value,

[0094] J(z) is the image after haze removal.

[0095] The purpose of removing haze is to obtain an image similar to that taken in a c...

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Abstract

The invention discloses a method for quickly removing fog and haze from a single image based on independent component analysis. The channel map generates the surface of the propagation characteristics of the haze atmospheric particles, and then based on the independent component analysis, the color space components of the foggy image and the surface of the haze propagation characteristics are used as independent components for data fusion and unmixing separation, and a clear image after the haze is eliminated . The present invention uses the haze atmospheric particle scattering model as the basis for processing, generates a haze atmospheric particle propagation characteristic surface for haze removal, and has a correct theoretical model basis; based on independent component analysis, the haze component and the non-fog color space component are separated, There is no need for time-consuming operations such as refined soft matting, image segmentation processing, etc., which greatly improves the computing efficiency; for haze-degraded images, the effect of removing haze is good, the image details are significantly enhanced, and the color fidelity is high.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method for quickly removing haze from a single image based on independent component analysis. Background technique [0002] In hazy weather, due to the scattering effect of atmospheric particles, on the one hand, part of the reflected light on the surface is lost due to scattering, which reduces the light intensity reaching the observation point, and decays exponentially with the increase of the propagation distance; on the other hand, The scattering effect of atmospheric particles also comes from the atmospheric light attached to the target image, so that the atmospheric light shows the characteristics of the light source, and the intensity of the ambient light gradually increases with the increase of the propagation distance; the effects of the above two aspects lead to the haze image Contrast, color and other features attenuate significantly. [0003] Th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/73G06T5/77
Inventor 李东泰张洁
Owner SOUTHWEST JIAOTONG UNIV
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