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Image enhancement method based on SVR

An image enhancement, original image technology, applied in the field of image processing, can solve problems such as contrast enhancement, achieve good grayscale features, solve the effect of image overbrightness and loss of details

Inactive Publication Date: 2017-09-22
HARBIN UNIV OF SCI & TECH
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  • Application Information

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Problems solved by technology

Therefore, the gray level distribution of the histogram equalized image is relatively uniform, some details disappear, and the contrast of some images is unnaturally over-enhanced after processing.

Method used

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specific Embodiment approach 1

[0023] DETAILED DESCRIPTION 1. An SVR-based image enhancement method, the specific method is:

[0024] Step 1, converting the original image from the first color space to the second color space containing brightness information, and extracting the brightness information of the original image;

[0025] Step 2, for the brightness information, adopt the regression principle SVR to determine the optimal transformation parameter value of the grayscale transformation function used for image enhancement;

[0026] Step 3. Construct a transformation curve of the grayscale transformation function according to the optimal transformation parameter value, and perform enhancement processing on the brightness information according to the transformation curve to obtain enhanced brightness information;

[0027] Step 4. Convert the enhanced luminance information from the second color space to the first color space to obtain a final enhanced image.

[0028] Preferably, the step of using the reg...

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Abstract

An image enhancement method based on a SVR belongs to the image processing technology filed. The method comprises the following steps of step1, converting an original image from a first color space to a second color space containing brightness information, and extracting the brightness information of the original image; step2, aiming at the brightness information, using a regression principle SVR to determine an optimal conversion parameter value of a gray-scale transformation function used for image enhancement; step3, according to the optimal conversion parameter value, constructing a transformation curve of the gray-scale transformation function, according to the transformation curve, carrying out enhancement processing on the brightness information, and acquiring the enhanced brightness information; and step4, converting the enhanced brightness information from the second color space to the first color space, and acquiring a final enhanced image. In the invention, the regression principle SVR of a SVM is used to carry out image enhancement processing research so that purposes of enhancing the image and maintaining a gray-scale characteristic of an original image are reached.

Description

technical field [0001] The invention relates to an image enhancement method, in particular to an SVR-based image enhancement method, and belongs to the technical field of image processing. Background technique [0002] Image enhancement is one of the basic contents of image processing. Image enhancement can improve the visual effect of the image and is also conducive to further processing of the image. Image enhancement can only emphasize or suppress certain details in an image, making it more suitable for a specific application. The quality of image enhancement processing directly affects subsequent image analysis and pattern recognition, and its application value has been widely valued. There are many methods of image enhancement, the traditional image enhancement method is to use histogram equalization to enhance the image. Histogram equalization is an important application of grayscale transformation and is widely used in image enhancement processing. It is a histogram...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/73
Inventor 赵春丽董静薇
Owner HARBIN UNIV OF SCI & TECH