Image enhancement coefficient adjusting method and device thereof and image enhancement method and device thereof

An image enhancement and enhancement coefficient technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of low image quality, low detail area enhancement effect, discrete noise amplification, etc.

Active Publication Date: 2010-05-19
VIMICRO ELECTRONICS CORP
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Problems solved by technology

[0003] However, no matter which image structure category each pixel in the input image belongs to, such as discrete noise, flat area, or detailed area, the above image enhancement process uses a unified predetermined image enhancement coefficient, that is, the image enhancement coefficient is one Constant constant, which will cause discrete noise to be amplified as the image is enhanced, and the enhancement effect of the detail area is not high compared with the flat area, so that the enhanced image quality is not high

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  • Image enhancement coefficient adjusting method and device thereof and image enhancement method and device thereof
  • Image enhancement coefficient adjusting method and device thereof and image enhancement method and device thereof
  • Image enhancement coefficient adjusting method and device thereof and image enhancement method and device thereof

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[0069] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0070] figure 1 It is a schematic flowchart of an exemplary image enhancement method in an embodiment of the present invention. Such as figure 1 As shown, the image enhancement method in this embodiment includes the following steps:

[0071] In step 100, the high-frequency components of each pixel in the input image are calculated respectively.

[0072] An optional way to implement this step is to obtain the high-frequency components of each pixel in the input image by simply filtering the input image. Specifically, the following template can be used to filter each pixel in the input image and the adjacent pixels around the pixel The pixels are convolved:

[0073] Mask = 1 8 ...

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Abstract

The invention discloses an image enhancement coefficient adjusting method and a device thereof and an image enhancement method and a device thereof; all pixels are distinguished to be the pixels with different image structure categories according to the difference degree of the grey scale of each pixel and the adjacent pixel in an input image, and then adjustment is carried out according to the image enhancement coefficient of the pixels with different image structure categories, so as to lead discrete noise to be filtered, enhance a flat area properly and enhance a detail area greater compared with the flat area, and improve the enhanced image quality in the enhanced image.

Description

technical field [0001] The present invention relates to image enhancement technology, in particular to an image enhancement coefficient adjustment method and an image enhancement coefficient adjustment device, and an image enhancement method and an image enhancement device that can adaptively adjust the enhancement coefficient with the image structure. Background technique [0002] An existing image enhancement process for the spatial domain needs to first calculate the high-frequency component of each pixel in the input image, and then use the product of the predetermined image enhancement coefficient and the high-frequency component of each pixel to perform image enhancement processing, that is, each pixel gray Degree values ​​and their corresponding products are accumulated separately to obtain an enhanced output image. [0003] However, no matter which image structure category each pixel in the input image belongs to, such as discrete noise, flat area, or detailed area, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/20
Inventor 卢晓鹏
Owner VIMICRO ELECTRONICS CORP
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