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Adaptive video image enhancing method based on lightness detection

A brightness detection and video image technology, applied in image enhancement, image communication, image data processing, etc., to achieve real-time performance, strong application value, and solve image distortion problems

Inactive Publication Date: 2011-10-26
ZTE CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide an adaptive video image enhancement method based on brightness detection, which can improve the subjective visual effect of video images under low-illumination conditions, and at the same time do not cause display distortion of adequately illuminated images

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  • Adaptive video image enhancing method based on lightness detection

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Embodiment Construction

[0049] In the method of this embodiment, it is necessary to determine the maximum and minimum values ​​of the pixel R, G, and B components according to the values ​​of the pixel Y, U, and V components. Since the conversion from the YUV color space to the RGB color space involves floating point For calculation, this embodiment writes the maximum and minimum values ​​of the R, G, and B components corresponding to the values ​​of the Y, U, and V components into the lookup table, and realizes fast calculation through the lookup table. If a lookup table is set for traversing the values ​​of the Y, U, and V components, the capacity of each table is 256×256×256 bytes. In order to reduce the memory required for implementation, a secondary mapping method is used. Before the video image is enhanced, the following lookup table initialization operation is performed first.

[0050] The conversion formula between YUV and RGB is as follows:

[0051] R=Y+1.402(V-128)

[0052] G=Y-0.34414(U...

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Abstract

The invention provides a self-adaptive video image enhancement method on the basis of brightness detection. The method of the invention detects the images under different illumination conditions and enhances the low-illumination images according to the detection result. When the images are detected, average values of brightness values of all sampling points of YUV-format images in a RGB colour space are taken as the brightness value of current frame of image. For each frame of image to be processed, if the brightness value of the frame of image is less than the prearranged brightness limit value of image under normal illumination, piecewise linearity is transformed for the value of Y-component of each pixel point in the area to be processed of the frame of image so as to improve the visible effect of the low-illumination image. In order to quicken the operation speed, the brightness values of all sampling points of the image in the RGB colour space are gained and the linear transform on the Y-component of the image under low illumination is operated in a form of table lookup. The method of the invention has small calculated quantities, meets the requirement of real-time performance and can be used for the processing of video images in video communication of mobile phones and televisions.

Description

technical field [0001] The invention belongs to the field of image information processing, in particular to an adaptive video image enhancement method based on brightness detection. Background technique [0002] Image enhancement is a basic means of image processing. It is often the preprocessing process of various image analysis and processing. Its main purpose is to: 1) improve the visual effect of the image and improve the clarity of the image components; 2) make the image become more favorable for computer processing. Image enhancement methods are generally divided into two categories: spatial domain and transform domain: the spatial domain method directly processes the grayscale of image pixels, and the transform domain method processes the transform coefficients in a certain transform domain of the image, and then through the inverse transform Get enhanced results. [0003] The gray level difference of the details of the low-illumination image is only within tens of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/20G06T5/00
Inventor 黄晓红张志辉吴钊王宁
Owner ZTE CORP
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