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Color image binarization and hiding and recovery method of binarization color image
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A color image and restoration method technology, applied in the field of image processing, can solve the problems of inability to realize color image binarization processing, loss, etc.
Inactive Publication Date: 2014-01-08
CHONGQING MEDICAL UNIVERSITY
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At present, the mainstream technology still adopts the first method, but the image obtained by binarization after grayscale is a black and white image, not a color image in the traditional sense, and grayscale is lossy, grayscale The quality of the transformed image also determines the effect of the next step of binarization processing.
So far, there is no technical means of the second way of thinking, that is, it is impossible to realize the binarization processing directly based on color images
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Embodiment 1
[0053] Embodiment 1: a kind of binarization method of color image, comprises the following steps, as image 3 Shown:
[0054] (1) Step 1, choose figure 1 The two color images shown are the source image Si, and the chrominance values R(x, y), G(x, y), B(x, y), and calculate the brightness value Gray(x, y) of the source image;
[0055] (2) Step 2, calculate the average brightness AGSi of source image, described average brightness AGSi can be obtained by following formula:
[0056] AGSi = 1 M × N Σ y = 0 N - 1 Σ x = 0 M - 1 Gray ( x , y ...
Embodiment 2
[0074] Embodiment 2: a kind of hiding and recovering method of binarized color image, such as Image 6 shown, proceed as follows:
[0075] Step 1, choose figure 2 The binarized color images shown in (a) and (b) are the source images, and the chrominance values R(x, y), G(x, y), B(x, y), and determine that the maximum of the three component chrominance values of red, green and blue of the source image is b, and the minimum is a; figure 2 (a) and figure 2 (b) a=0, b=255.
[0076] Step 2, use the Zadeh-X transformation method to separately calculate the chrominance values R(x, y), G(x, y), B(x, y) of the red, green and blue components of each pixel of the source image Perform transformation to hide the source image, and obtain a color image that cannot be seen by human vision after hiding; the hidden image is as follows Figure 4 (a) and Figure 4 (b) shown.
[0077] The Zadeh-X transformation method is as follows:
[0078] T ( ...
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Abstract
A binarization method of a color image comprises the following steps: (1) selecting a source image, acquiring chromatic values of red, green and blue three components of each pixel point of the source image and calculating a brightness value of the source image; (2) calculating an average brightness of the source image; (3) using a Zadeh-X transformation method to carry out binarization transformation on the red, green and blue three components of the source image so as to generate the transformed color image, and calculating the average brightness of the transformed color image; (4) comparing the average brightness of the source image with the average brightness of the transformed color image and determining a result image of the binarization transformation. The method of the invention has the following advantages that: binarization processing can be performed based on the color image so as to obtain the actual binarization color image; and compared to the source image, the binarization color image has little change in brightness.
Description
technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for binarizing the color image under the condition that the brightness of the color image remains unchanged. Background technique [0002] A binarized image is one that has only two grayscale / chrominance values. Image binarization refers to the process of transforming a grayscale / chroma-rich image into only two grayscale / chroma values. Because the binary image is simple, the amount of data is small, and it can highlight the outline of the target of interest, it occupies a very important position in digital imageprocessing and is widely used in various fields, such as: optical character recognition technology OCR (optical character recognition ), reprocessing of documents, etc. [0003] And the world is colorful, so most of the images people get are in color. There have always been two ideas for color image binarization: the first is to grayscale the color imag...
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