Self-adaptive defogging strengthening method of single-frame image

An adaptive, frame image technology, applied in the field of computer vision, to achieve the effect of meeting real-time performance requirements

Active Publication Date: 2010-12-01
HANVON CORP
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

To solve this problem, the present invention proposes the concept of the relative depth of field relationship between pixels, and applies the relative depth of field relationship to the construction process of ambient lighting, effectively solving the edge halo phenomenon

Method used

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  • Self-adaptive defogging strengthening method of single-frame image
  • Self-adaptive defogging strengthening method of single-frame image
  • Self-adaptive defogging strengthening method of single-frame image

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Embodiment Construction

[0026] In order to understand the technical content of the present invention more clearly, the following examples are given in detail.

[0027] The present invention provides a single-frame image self-adaptive defogging enhancement method, figure 1 A flowchart of the method is shown.

[0028] The method described in this embodiment includes: Step (1), collecting the atomized image by the image collection unit.

[0029] The image acquisition process is very similar to the process of observing objects in distant scenes with the human eye. It is to collect the light reflected and refracted by objects and the environment. The light reflected by an object may be interfered by various media during transmission, such as the scattering effect of dust particles floating in the air and the refraction effect of water vapor particles. Various particles floating in the air also reflect or refract light. These constitute the ambient light of the image and will also affect the collected im...

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Abstract

The invention relates to a self-adaptive defogging strengthening method of a single-frame image, belonging to the vision field of computers. The method comprises the following steps of: (1) acquiring an atomizing image by an image acquisition unit; (2) determining the self-adaptive environment illumination of the image and defogging the image according to the self-adaptive environment illumination; (3) determining an image color rendition coefficient; (4) rending the color of the defogged image according to the color rendition coefficient to obtain a defogged and strengthened sharp image; and (5) outputting the sharp image. The method can be carried out in a self-adaptive way without interacting among users; and by adopting a single image as the input, the invention meets application demands of a plurality of scenes.

Description

technical field [0001] The invention relates to the improvement of foggy scenes and video quality under haze in the field of computer vision, and adopts a new defogging method based on a physical model of fogged images to recover real scenes from fog or haze. Background technique [0002] Many applications in the field of computer vision are required to be able to adapt to outdoor situations, such as target detection, tracking and recognition, which require high-quality input images to detect stable features. However, under severe weather conditions, the visibility of the image and the color of the image can be seriously degraded. Especially in foggy and hazy conditions, this degradation is more obvious, seriously affecting feature extraction. [0003] Many scholars have conducted research on image dehazing enhancement and proposed some solutions. Among them, some scholars have proposed a method of using polarizers for processing. However, the disadvantage of this method ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 刘昌平黄磊姚波
Owner HANVON CORP
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