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Image Adaptive Sharpening Method and Storage Medium for Gradient Correlation Detection

A correlation and self-adaptive technology, applied in the field of image processing, can solve problems affecting the user's sensory experience and unreasonable image sharpening intensity

Active Publication Date: 2020-10-13
FUZHOU ROCKCHIP SEMICON
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For this reason, it is necessary to provide an image adaptive sharpening method and a storage medium for gradient correlation detection to solve the problem that the existing image sharpening algorithm requires the user to manually set a single sharpening coefficient, resulting in sharpened image sharpening. Unreasonable intensity of optimization, which affects the user's sensory experience

Method used

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  • Image Adaptive Sharpening Method and Storage Medium for Gradient Correlation Detection
  • Image Adaptive Sharpening Method and Storage Medium for Gradient Correlation Detection
  • Image Adaptive Sharpening Method and Storage Medium for Gradient Correlation Detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] Embodiment 1: Gaussian kernel smoothing filter processing

[0067] Gaussian smoothing curve can refer to image 3 As shown, it can be specifically expressed by formula (3):

[0068]

[0069] For example, the integer Gaussian kernel with a standard deviation of 1.0 is shown in Table 1:

[0070]

[0071] Table 1

[0072] For the application of Gaussian kernel smoothing filter, please refer to the following website link, so I won’t go into details here:

[0073] https: / / www.cnblogs.com / wangguchangqing / p / 6407717.html

Embodiment 2

[0074] Embodiment 2: mean value filter processing

[0075] The mean filtering process can be specifically expressed by formula (4):

[0076]

[0077] The selected filter templates are as follows:

[0078]

Embodiment 3

[0079] Embodiment 3: median filter processing

[0080]

[0081] The selected filter templates are as follows:

[0082]

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PUM

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Abstract

The present invention provides an image adaptive sharpening method and a storage medium using gradient correlation detection. The method realizes different degrees of filtering processing in different areas of the image by performing similarity detection on the brightness of image pixels, effectively protecting the image. Weak texture areas on the surface, suppressing the impact of noise. In addition, the method also calculates the sharpening coefficient of each pixel based on the image gradient correlation and the original gradient image, and sharpens the part of the pixels that need to be sharpened on the image filtered to different degrees, effectively protecting the image. Detailed texture features realize adaptive sharpening of images according to different brightness scenes, making the visual effect of the image clearer and the transition in the middle more natural, effectively improving the user sensory experience.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image adaptive sharpening method for gradient correlation detection and a storage medium. Background technique [0002] Image sharpening is to enhance the edge of the image on the basis of the original image, so as to achieve the effect of enhancing the focus of the image, reducing the blurring of image details and improving the image resolution. Image sharpening algorithms include spatial domain processing and frequency domain processing. Unsharp mask filter (unsharp mask filter, USM) algorithm is a commonly used sharpening algorithm, which can effectively improve the contrast of image edges. Its principle is to use the difference between the original image and the blurred image as a mask template. , to fuse the input image with the value in the mask template according to the ratio set by the user, so as to achieve image edge sharpening. The reference link is as follows: htt...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20036G06T2207/20021G06T2207/10024G06T2207/10004G06T5/73
Inventor 吴伟霖杨培杉
Owner FUZHOU ROCKCHIP SEMICON
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