Boundary point processed histogram balancing method

A histogram equalization and boundary point technology, which is applied in image data processing, image communication, image enhancement, etc., can solve the problems of increasing background noise, decreasing resolution, and being unable to reduce background noise, so as to suppress background noise and reduce grayscale The effect of class merging

Inactive Publication Date: 2008-07-02
上海广电集成电路有限公司
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Problems solved by technology

[0002] Histogram equalization is a commonly used image enhancement technology. Its advantage is that it can automatically enhance the contrast of the entire image, it expands the dynamic range of the image, and the resulting image density distribution becomes flat, but its specific enhancement effect is not easy to control. The result of the processing is always a global equalized histogram, and for some gray levels with a small gray frequency, they will be merged, resulting in a decrease in resolution and a visually obvious sense of rigidity; after the histogram is equalized, the It will increase the background noise, and the mean value of the processed image is always near the median value of the gray scale range, which has nothing to do with the average gray scale of the original image
[0003] The Chinese patent application No. 99122874.X prop

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Embodiment Construction

[0054] A histogram equalization method for processing boundary points of the present invention will be further described in detail below.

[0055] As shown in Fig. 1 and Fig. 2, the histogram equalization method for processing boundary points provided by the present invention comprises the following steps:

[0056] Step 1, input a video image, calculate the brightness map f(i, j) of the image, the maximum value Max and the minimum value Min of the gray level of the image, and the function f(i, j) represents the pixel in the i-th row and j-th column of the image The brightness information of the point;

[0057] Step 2. Find the edge points on the brightness map:

[0058] Step 2.1, apply the Sobel operator to calculate the Sobel modulus of the brightness image:

[0059] The Sobel operator is a traditional edge detection and extraction operator, which consists of two positive templates, horizontal and vertical, and can detect the edges of the image in the horizontal and vertical ...

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Abstract

The invention provides a column diagram balancing method for processing boundary point, which is the method for processing the edge image pixels but not all image pixels, thus effectively restraining the spreading of background noise and effectively maintaining certain grayscale level not to be merged. At the same time, the image strengthening effect is controlled by a method for adding a control factor so that the typical value of the image has no far more difference with the typical value of the original image.

Description

technical field [0001] The invention relates to a histogram equalization method, in particular to a histogram equalization method for processing boundary points. Background technique [0002] Histogram equalization is a commonly used image enhancement technology. Its advantage is that it can automatically enhance the contrast of the entire image, it expands the dynamic range of the image, and the resulting image density distribution becomes flat, but its specific enhancement effect is not easy to control. The result of the processing is always a global equalized histogram, and for some gray levels with a small gray frequency, they will be merged, resulting in a decrease in resolution and a visually obvious sense of rigidity; after the histogram is equalized, the It will increase the background noise, and the average value of the processed image is always near the median value of the gray scale range, which has nothing to do with the average gray scale of the original image. ...

Claims

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Application Information

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IPC IPC(8): G06T5/40H04N5/21
Inventor 袁野
Owner 上海广电集成电路有限公司
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