System and method for realizing image fog-haze evaluation based on Fourier transformation

A Fourier transform, image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of inability to give evaluation results, inability to apply haze image evaluation, and natural scene statistical methods that do not consider image degradation. and other problems to achieve the effect of improving work efficiency and wide application range

Active Publication Date: 2015-07-29
THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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Problems solved by technology

However, the above methods are all for several types of fixed compression distortion, and cannot be applied to haze image evaluation
In addition, because the natural scene statistics method adopted by the non-parametric image quality evaluation method does not take into account the global image degradation, it cannot give accurate evaluation results

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  • System and method for realizing image fog-haze evaluation based on Fourier transformation
  • System and method for realizing image fog-haze evaluation based on Fourier transformation
  • System and method for realizing image fog-haze evaluation based on Fourier transformation

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[0041] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.

[0042] Such as figure 1 As shown, the system for image haze evaluation of the present invention includes:

[0043] Grayscale conversion module, used to read in the current image information and perform color-to-grayscale conversion;

[0044] A non-local mean filtering module, which is used to establish a Cartesian coordinate system with the pixel point in the upper left corner of the gray-scale converted image as the origin and perform non-local mean filtering on the gray-scale converted image;

[0045] Fourier transform module, in order to carry out Fourier amplitude value calculation with the image after filtering;

[0046] The image entropy calculation module is used to calculate the image entropy of the obtained value after Fourier transform, and use the obtained entropy value as the haze image evalua...

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Abstract

The invention relates to a system and a method for realizing image fog-haze evaluation based on Fourier transformation, wherein the system comprises a gray scale conversion module used for reading in current image information and carrying out conversion from multicolor to gray scale, a non-local mean filtering module used for establishing a rectangular coordinate system with a pixel point at the top left corner of an image after the grey scale conversion as an original point and carrying out non-local mean filtering for the image after the grey scale conversion, a Fourier transformation module used for calculating a Fourier amplitude value of the filtered image, and an image entropy calculation module used for calculating an image entropy for the obtained value after the Fourier transformation and taking the obtained the entropy value as a fog-haze image evaluation result. According to the system and the method for realizing the image fog-haze evaluation based on the Fourier transformation, by adopting the structure, the relatively difficult problem in time domain, namely, the problem that the image fog and haze are effectively normalized to central amplitude change entropies is solved through transformation and processing of a frequency domain; the entropy value effectively represents the fog-haze image evaluation result; the system and the method have a wider application range.

Description

technical field [0001] The present invention relates to the technical field of image quality evaluation, in particular to the technical field of haze image evaluation, and specifically refers to a system and method for realizing image haze evaluation based on Fourier transform. Background technique [0002] Haze image evaluation is the evaluation and analysis process of the degree of haze in the image. Early haze image evaluation techniques often use manual comparison methods to judge the quality of haze image evaluation results. With the emergence of computer technology, methods based on computer vision and image processing greatly reduce manual intervention and improve work efficiency. Methods based on computer vision and image processing are usually divided into methods based on image quality evaluation and methods based on scene analysis. The processing object of the former is mainly the distortion evaluation of compressed images. The latter is to evaluate the enhance...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/20056
Inventor 夏嫣姚晨闵子彦朱佳敏张珅哲
Owner THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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