T parameter homomorphic filtering method based on logarithmic equation

A homomorphic filtering and parameter technology, applied in image data processing, instrumentation, computing, etc., can solve the problem of reducing the generality of the algorithm, and achieve the effect of vivid images

Pending Publication Date: 2021-03-12
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the parameters in the proposed algorithm still need to be set for different images and after a large number of experiments based on experience, which greatly reduces the versatility of the algorithm.

Method used

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  • T parameter homomorphic filtering method based on logarithmic equation
  • T parameter homomorphic filtering method based on logarithmic equation
  • T parameter homomorphic filtering method based on logarithmic equation

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Embodiment 1

[0043] Such as figure 1 with 2 Shown, take MATLAB as experimental platform to carry out comparative verification experiment, the concrete implementation steps of the present invention are as follows:

[0044] Step 1: Convert the color image into a grayscale image; convert the three-channel image into a single channel, and normalize the value of each channel to [0,255];

[0045] Step 2: Perform logarithmic transformation on the grayscale image; adjust the grayscale value range of the input low-quality image. Expand the low gray value part of the image, and compress the high gray value part; the logarithmic transformation formula:

[0046] c*log v+1 (1+v*f(x,y))=c*log v+1 (1+v*i(x,y))*log v+1 (1+v*r(x,y)) Formula 1

[0047] Among them, c and v are constants, and the larger v is, the more obvious the gray scale is improved; f(x, y) represents the gray scale image; i(x, y) is the illumination component; r(x, y) represents the reflection component;

[0048] Step 3: Perform F...

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Abstract

The invention discloses a T parameter homomorphic filtering method based on a logarithmic equation, which relates to the field of image processing and computer graphics, and comprises the following steps of 1, converting a color picture into a grey-scale map, 2, conducting logarithm transformation on the grey-scale map, 3, performing Fourier transform, 4, performing frequency domain filtering processing by using a frequency domain enhancement function, 5, performing inverse Fourier transform on a filtered result, and 6, performing exponential transformation to obtain a time domain result. According to the algorithm, details are more obviously highlighted, and the image is more vivid. The improved algorithm provided by the invention is obviously superior to Gaussian, Butterworth and logarithmic homomorphic filtering algorithms in average gradient; when a highlight image is processed, the algorithm result of the method is slightly superior to that of a Gaussian type algorithm and is higher than those of a Butterworth type algorithm and a logarithmic type algorithm in contrast.

Description

technical field [0001] The invention relates to the fields of image processing and computer graphics, and more specifically relates to a T parameter homomorphic filtering method based on a logarithmic equation. Background technique [0002] The degradation of image quality is not only related to the acquisition equipment, but also the acquisition environment is a very important factor. The impact of the acquisition device is mainly the internal parameters and external parameters of the camera. Once the internal parameters are set, they will not change. Therefore, the main reason for the degradation of image quality caused by the acquisition equipment is external parameters, such as: focal length and so on. The main reason for the degradation of image quality is that the image acquisition environment such as: humidity, temperature, light intensity and weather conditions in the environment will all have an impact on imaging. [0003] Among them, light intensity is the most c...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20048G06T5/92
Inventor 胡淼赵意成李华
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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