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Image enhancement method

An image enhancement and image technology, applied in the field of image processing, can solve problems such as ringing effect and enhanced noise, and achieve the effects of high dynamic range, image enhancement, and contrast enhancement.

Active Publication Date: 2017-03-22
SUN YAT SEN UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can enhance the high-frequency information of the image and enhance the image contour, but at the same time it may also enhance noise and ringing effects

Method used

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Examples

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Embodiment 1

[0086] Such as figure 1 As shown, the specific steps of a specific embodiment of an image enhancement method of the present invention include:

[0087] a) Denoising the input image I(x, y) to obtain the denoising image F(x, y); in this embodiment, the denoising process is implemented by smoothing filter, first the input image I(x, y) Convert to a grayscale image, and then perform mean filtering on the grayscale image to obtain a smoothed denoised image F(x,y).

[0088] b) edge extraction is performed on the denoised image F(x, y) to obtain an edge image E(x, y); in this embodiment, a custom Laplacian template is used to perform edge extraction on the smoothed image, for example Define the Laplacian template as w,

[0089]

[0090] Calculate the edge image E(x,y) according to the self-defined Laplacian template.

[0091] c) performing image enhancement processing on the edge image E(x, y) to obtain a denoised and edge-enhanced image;

[0092] d) Using Brightness Controll...

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Abstract

The present invention relates to the image processing field, more specifically, to an image enhancement method. The concrete steps comprises: a) performing the de-noising processing of an input image to obtain a de-noising image; b) performing edge extraction of the de-noising image to obtain an edge image; c) performing image enhancement processing of the edge image to obtain the de-noising and edge enhancement image; d) employing the histogram equalization method with controllable brightness to perform processing of the de-noising image to obtain a global enhancement image; and e) performing linear superposition of the obtained image through the step c and the step d, and obtaining a final output image. Through combination of the histogram equalization method with controllable brightness and the UM (Unsharp Masking) algorithm idea, the image enhancement method can realize that the output brightness can be automatically regulated with the user requirement, and can obtain a global enhanced output image with obviously improved contrast through setting an appropriate brightness value so as to reach the purpose of the image enhancement.

Description

technical field [0001] The present invention relates to the field of image processing, and more particularly, to an image enhancement method. Background technique [0002] Image enhancement is one of the most basic technologies in digital image processing, and it is also a preprocessing technology for many image processing. Obtain valuable information in the image, so as to convert the image into a form that is more suitable for human or machine analysis and processing, so that the processed image has a better effect on certain specific applications. Image enhancement theory is widely used in the fields of biomedicine, industrial production, public security, and aerospace. There are many existing image enhancement methods. The most basic image enhancement includes space domain enhancement and frequency domain enhancement. However, the application of image enhancement theory is generally targeted, and different methods are used for different applications. The general image e...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20192G06T2207/20182G06T2207/20221G06T5/75G06T5/92
Inventor 谭洪舟黄登朱雄泳陈荣军李智文
Owner SUN YAT SEN UNIV
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