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Method and device for image correction
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An image correction and correction value technology, applied in the field of image correction, can solve problems such as increased brightness, misjudgment of gray points as color points, and easy misjudgment
Active Publication Date: 2020-07-24
HISENSE VISUAL TECH CO LTD
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[0005] However, noise will inevitably be introduced in the process of color image acquisition to display transmission, or in the process of image reproduction and post-processing. The RGB value will change due to noise interference, and if the above method is still used to distinguish color point, it is easy to misjudgment, for example, some of the original grayscale points will be misjudged as color points
Once a misjudgment occurs, wrongly performing GAMMA correction on the original grayscale point will cause the problem that the low grayscale part cannot be distinguished and the brightness will increase, which will lead to distortion of the brightness of the screen displayed on the display, and flickering points or holes (a region Center dark, surrounding light) phenomenon
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Embodiment 1
[0032] refer to figure 1 , the image correction device can input the input values (R i G i B i ) to correct the output value of the three primary color components of the pixel (R o G 0 B o ), and output to the display module; of course, all pixels in the display image can use the same correction method, so that the display module can get the R of all pixels o G o B o value. Afterwards, the display module can be based on the R of all pixels o G o B o The screen is displayed. Preferably, the image correction device and the display module can be integrated into one display, and of course, the image correction device can also be externally installed on the display, which is not limited here.
[0033] In the following, the process of image correction performed by the image correction device will be described in detail, emphasizing the process of correcting one pixel in the image, and this process can be referred to for the correction of each pixel in the entire image....
Embodiment 2
[0156] The embodiment of the present invention also provides an image correction method, which is executed by an image correction device. Please refer to the attached Figure 9 , this method is further supplemented on the basis of Example 1.
[0157] The image correction module mainly includes a color point and weighting coefficient detection module, a GAMMA correction module, a DICOM correction module, and a selector shown in the figure. In this embodiment, the selector is an MUX (Multiplexer) as an example.
[0158] The method specifically includes: first, the three primary color components (R i G i B i ) through color point and weighting coefficient detection module, output GAMMA weighting coefficient (gamma_K) and DICOM weighting coefficient (dicom_K=1-gamma_K); Input R i G i B i After the GAMMA correction module, the second correction value (Rg, Gg and Bg) is output; the input R i G i B i Through the DICOM correction module, the third correction value (Rd, Gd and...
Embodiment 3
[0176] refer to Figure 10 As shown, an embodiment of the present invention provides an image correction device, including:
[0177] The first acquisition unit 51 is configured to calculate the absolute value of the difference between two of the three primary color components of the pixel, so as to obtain the maximum absolute value among the three absolute values of the pixel;
[0178] The second acquiring unit 52 is configured to acquire the first confidence degree corresponding to the maximum absolute value of the pixel point, the first confidence degree is the confidence degree that the pixel point is a color point, and the maximum absolute value of the pixel point and the first confidence degree In the corresponding relationship of confidence degrees, along the direction of increasing the maximum absolute value, the first confidence degree shows an upward trend, and the value range of the first confidence degree is [C min , C max ] and contains at least 3 values;
[0...
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Abstract
The embodiment of the invention provides a method and a device for image correction, which relate to the field of image correction and aim at solving the problem that during an image correction process in the prior art, error judgment on a gray point is caused when judgment on a color point / gray point is carried out through whether RGB values are totally the same. The image correction method comprises steps: the absolute value of the difference between each two of three primary color components of a pixel point is solved, and the maximum absolute value in the three absolute values of the pixel point is acquired; the first confidence corresponding to the maximum absolute value of the pixel point is acquired, wherein the first confidence is the confidence when the pixel point is a color point, in a corresponding relationship between the maximum absolute value of the pixel point and the first confidence, along the maximum absolute value increasing direction, the first confidence presents a rising trend, and the first confidence has a range of [Cmin, Cmax] and contains at least three numerical values; and according to the first confidence of the pixel point, the three primary color components of the pixel point are corrected, and a first correction value of the pixel point is obtained.
Description
technical field [0001] The invention relates to the field of image correction, in particular to an image correction method and device. Background technique [0002] Existing displays generally require corresponding image corrections for different image contents to ensure better display effects. Especially in the field of medical image display, in order to make network consultation possible, the same medical image needs to have almost the same display effect when displayed on any monitor, so it is particularly important to correct medical images. [0003] At present, there are generally two types of medical images, one is grayscale images, such as CT (Computed Tomography, computerized tomography) images, MRI (Magnetic Resonance imaging, nuclear magnetic resonance imaging) images, etc.; the other is color images, such as Color ultrasound, color MRI images, surgical videos, etc. For grayscale images, DICOM (Digital Imaging and Communications in Medicine, digital imaging and c...
Claims
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Application Information
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