Image enhancement method and device thereof as well as image low frequency component computing method and device thereof

An image enhancement, low-frequency component technology, applied in image enhancement, computing, image data processing and other directions, can solve the problems of increased noise, blurred edges of high-frequency components, and low image quality.

Active Publication Date: 2010-05-12
VIMICRO ELECTRONICS CORP
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0003] However, the existing image enhancement methods only perform smoothing filtering based on the spatial position relationship when calculating the low-frequency components of the image, which easily leads to blurred edges and increased noise in the high-frequency components, resulting in low quality of the enhanced image.

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  • Image enhancement method and device thereof as well as image low frequency component computing method and device thereof
  • Image enhancement method and device thereof as well as image low frequency component computing method and device thereof
  • Image enhancement method and device thereof as well as image low frequency component computing method and device thereof

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Embodiment Construction

[0057] 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.

[0058] 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:

[0059] Step 101, calculating the low-frequency components in the input image;

[0060] Step 102, subtracting the low frequency component from the input image to obtain the high frequency component;

[0061] Step 103, calculating the product of the high-frequency component and the preset image enhancement magnitude coefficient, and accumulating the input image and the product to obtain an enhanced output image.

[0062] So far, this process ends.

[0063] The above process can be expressed as f'(x, y)=f(x, y)+λ[f(x, y)...

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Abstract

The invention discloses an image enhancement method and a device thereof as well as an image low frequency component computing method and a device thereof. When each pixel to be filtered is computed, according to the relevance of the position and the grey value of the pixel to be filtered and each pixels in the space thereof, bilateral filtering operators corresponding to each pixel in the spatial neighbourhood are computed, thereby obtaining different bilateral filtering operators which are obtained by being adaptively adjusted according to the position and grey value in the spatial neighbourhood; then according to the position and grey value of each pixel in the spatial neighbourhood of the current pixel to be filtered, the bilateral filtering operators respectively corresponding to each pixel in the spatial neighbourhood are computed, the low frequency component obtained by the pixel to be filtered in an image can be input, thereby considering the pixels which are closest in the position and the grey value, avoiding the occurrence of high frequency noise and the lost of edge information to a certain extent, and further improving the quality of the enhanced image.

Description

technical field [0001] The present invention relates to image enhancement technology, in particular to an image enhancement method and an image enhancement device that can be adaptively enhanced with the position and gray value of pixels in the spatial neighborhood, as well as an image low-frequency component calculation method and an image low-frequency component calculation method. Component counting device. Background technique [0002] Image enhancement techniques can be divided into point processing, spatial domain processing, and transform domain processing. A common image enhancement method belonging to the branch of spatial domain processing in the prior art uses the calculated low-frequency components of the image to obtain the high-frequency components of the image, and then superimposes the high-frequency components on the original image. [0003] However, the existing image enhancement methods only perform smoothing filtering based on the spatial position relati...

Claims

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Application Information

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