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Adaptive image sharpening method for gradient correlation detection and storage medium

A storage medium and correlation technology, applied in the field of image processing, which can solve the problems of unreasonable image sharpening intensity and affecting the user's sensory experience.

Active Publication Date: 2018-05-15
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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  • Adaptive image sharpening method for gradient correlation detection and storage medium
  • Adaptive image sharpening method for gradient correlation detection and storage medium
  • Adaptive image sharpening method for gradient correlation detection and storage medium

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 invention provides an adaptive image sharpening method for gradient correlation detection and a storage medium. According to the method, brightness of image pixels is subjected to similarity detection, different regions of the image are subjected to filtration processing at different degrees, a textureless region on the image is effectively protected, and noise effects are suppressed. In addition, according to the method, a sharpening coefficient of each pixel is calculated according to gradient correlation of the image and an original gradient image, and the pixel part needing to be sharpened on the image subjected to filtration processing at different degrees is sharpened, so that detail texture characteristics of the image are effectively protected, the visual effect of the image isclear according to adaptive image sharpening according to different brightness scenes, middle transition is natural, and the sensory experience of the user is effectively improved.

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 Applications(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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