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A method of image subjective visual effect enhancement based on wavelet transform

A technology of wavelet transform and visual effects, applied in image enhancement, image data processing, instruments, etc., can solve problems such as image enhancement, achieve the effects of improving image brightness, highlighting image details, and improving subjective visual effects

Active Publication Date: 2019-03-08
BEIJING HANG TIAN HUA TECH CO LTD
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for enhancing the subjective visual effect of images based on wavelet transform, which can solve the problem of image over-enhancement, effectively highlight the details of the image, improve the brightness distribution of the image, and increase the contrast of the image, thereby enhancing the image quality. subjective visual effects

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  • A method of image subjective visual effect enhancement based on wavelet transform
  • A method of image subjective visual effect enhancement based on wavelet transform
  • A method of image subjective visual effect enhancement based on wavelet transform

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[0038] A wavelet transform-based image subjective visual effect enhancement method of the present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

[0039] Such as figure 1 Shown, a kind of image subjective visual effect enhancement method based on wavelet transform of the present invention, the steps are as follows:

[0040] The first step: image wavelet decomposition;

[0041] Perform wavelet transform on the input image to obtain low-frequency image and high-frequency image; then normalize the three high-frequency images respectively, and then sum to obtain the detail image.

[0042] In this embodiment, the existing Haar wavelet base is used to perform one-layer wavelet decomposition on the input image to obtain three high-frequency images; the method for calculating the detail image D is as follows:

[0043] D=Norm(|Norm(|I H |)|)+Norm(|I V |)+Norm(|I D |)

[0044]

[0045] I input is the input ima...

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Abstract

The present invention provides a method for enhancing subjective visual effects of images based on wavelet transformation. The method includes: 1. Image wavelet decomposition: wavelet transformation is performed on the input image to obtain a low-frequency image and a high-frequency image; and then among the obtained high-frequency images, The three images are normalized separately and then summed to obtain the detailed image. 2. Correction of low-frequency and high-frequency images: Statistics of the grayscale distribution of points with larger amplitudes in the corresponding detail images in the low-frequency image obtained in the first step are obtained, and a weighted grayscale histogram of detail information is obtained. 3. Inverse wavelet transform: Perform inverse wavelet transform on the enhanced low-frequency image and the corrected high-frequency image in the second step to obtain the reconstructed image. 4. Weighted fusion: Perform weighted fusion of the reconstructed image and the input image to obtain the final enhanced image. Through the above steps, the problem of image over-enhancement can be solved, and the detailed information of the image can be effectively highlighted, the brightness distribution of the image can be improved, and the contrast of the image can be improved, thereby enhancing the subjective visual effect of the image.

Description

【Technical field】 [0001] The invention provides a method for enhancing subjective visual effects of images based on wavelet transform, which belongs to the technical field of digital image processing. 【Background technique】 [0002] Image enhancement is an important preprocessing step in image processing. It can effectively improve the quality of the image, improve the subjective visual effect of the image, and highlight its useful features. Among them, histogram equalization is one of the most widely used image enhancement algorithms. Histogram equalization firstly accumulates the probability density of the image histogram to obtain a mapping function, and then uses the mapping to enhance the image. Since the contrast increment corresponding to each gray level of the enhanced image is proportional to the corresponding pixel number in the histogram, the histogram equalization faces the problem of over-enhancement. In order to control the enhancement degree of image contra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/50
CPCG06T5/50G06T5/00
Inventor 孙泽斌赵琦冯文全赵洪博张博学张文峰黄立东
Owner BEIJING HANG TIAN HUA TECH CO LTD
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