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Sharpness processing method for foggy-day images

A processing method and clearing technology, which is applied in the field of clearing processing of foggy images, can solve the problem of submerging useful information of foggy images, and achieve the effect of image contrast improvement

Inactive Publication Date: 2016-04-20
NANJING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

Based on this, there are single-scale and multi-scale Retinex algorithms, but the algorithm will overwhelm the useful information in the foggy image

Method used

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  • Sharpness processing method for foggy-day images
  • Sharpness processing method for foggy-day images
  • Sharpness processing method for foggy-day images

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Embodiment 1

[0043] A grayscale image under foggy weather is used for processing on a PC, and the processor used is IntelCoreI3. figure 2 (a) is the original grayscale image collected; figure 2 (b) is the image obtained by the traditional Retinex algorithm. It can be seen that the effect of defogging has been achieved to a certain extent, but the overall image is dim, the contrast is not high, and some details are not well reflected; figure 2 (c) is the image processed by this algorithm. First, the Gaussian kernel function of different scales and the original foggy image are used for smooth convolution to obtain brightness images reflecting different scales of ambient brightness respectively; then the original foggy image is taken logarithm, and use this result to subtract the logarithm of the brightness image at different scales to obtain the reflection images at different scales, and sum them according to the weight to obtain the superimposed reflection image; finally, perform contras...

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Abstract

The invention discloses a sharpness processing method for foggy-day images. The sharpness processing method for foggy-day images comprises utilizing different scales of Gaussian kernel function Fi(x,y) to carry out convolution for an original foggy-day image to obtain a brightness image Li(x,y) which can reflect the ambient brightness; summing the logarithmic difference of the original image V(x,y) and the brightness images Li(x,y) according to the weight so as to obtain a reflection image R(x,y); performing contrast stretching for the obtained reflection image R(x,y) to obtain a stretched reflection image R'(x,y); using improved gamma correction to correct the R'(x,y), wherein the correction function is Ia(a+I); and at last selecting two platform thresholds T1 and T2 to perform double-platform histogram processing for the image after gamma correction to obtain an image after the final processing. The algorithm consummates the deficiency of a Retinex algorithm, and gets good balance between the image dynamic range and the detail fidelity, and not only improves the contrast but also preferably keeps the details of the image.

Description

technical field [0001] The invention belongs to the field of video image enhancement, and in particular relates to a method for clearing foggy images. Background technique [0002] Fog is a common natural weather. Even in clear summer, a layer of mist will be formed due to the evaporation of surface water. The biggest disadvantage of foggy weather is that it reduces the visibility of the atmosphere, reduces the image quality and contrast that people see, and for color images, there will be serious color shift and distortion, so that the acquired images are not ours. The desired image, or the useful information in the image is "covered" by the low contrast of the image and a lot of useful information is lost. Studies in recent years have shown that the reason for image degradation is that due to the scattering of particles in the atmosphere, the reflected light flux of the illuminated scene is partially absorbed or reflected by the particles in the atmosphere, thereby attenu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 陈钱赵耀颜奇欢钱毅涛顾国华隋修宝于雪莲钱惟贤何伟基高航孙镱诚曾俊杰刘源陶远荣
Owner NANJING UNIV OF SCI & TECH
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