Haze image medium transmission rate estimation and optimization method based on quick gaussian filtering

A medium transfer rate and Gaussian filtering technology, which is applied in the field of medium transfer rate estimation and optimization of haze images, and can solve problems such as inability to apply real-time systems, slow optimization speed, and slow dehazing speed.
CN103226816AInactive Publication Date: 2013-07-31CHENGDU CORPRO TECH CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
CHENGDU CORPRO TECH CO LTD
Publication Date
2013-07-31
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention discloses a haze image medium transmission rate estimation and optimization method based on quick gaussian filtering. The method comprises the steps of estimation of a transmission rate and quick gaussian filter optimization of the transmission rate; the whole defogging flow comprises the steps that the minimum value is taken from three color values of each pixel point; a minimum value luminance diagram is obtained; the adjacent minimum value of each pixel point is obtained in the minimum value luminance diagram; a dark channel image is obtained; an average value of 0.1% of maximum gray scale pixels in a dark channel is selected as an atmospheric light value; a transmission image is computed according to the dark channel image; a transmission diagram is refined by adopting a quick gaussian filter; and a fogging imaging model is brought into to recover a fog-free scene. The method adopts a recurrence gaussian filtering method to optimize the transmission rate, so that an optimization result is good, and the method can be quickly achieved by adopting a programmable logic device.
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Description

technical field

[0001] The invention relates to a method for estimating and optimizing medium transmission rate of haze images based on fast Gaussian filtering. Background technique

[0002] In the field of computer vision, the sharpening of images in foggy scenes is an important issue, which is crucial for subsequent operations such as visual interpretation and computer vision analysis. In the range of visible light imaging, due to the influence of fog, dust and other particles in the atmosphere, as the transmission distance increases, the light reflected by the object and reaching the photosensitive sheet of the camera is very weak, making the image blurred, especially in foggy weather. Visibility is very low, and the haze of images taken in foggy weather is even more serious. Therefore, it is of great practical significance to restore the weak details of the image by means of dehazing.

[0003] At present, in the field of computer vision, there are roughly two methods f...

Claims

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