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Image enhancement method

An image enhancement and image technology, applied in the field of computer vision, can solve the problems of incomplete acquisition of high dynamic information, multi-dynamic range, limited, etc., and achieve the effect of visible light image enhancement and high-quality visible light image enhancement

Active Publication Date: 2012-10-10
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the original raw format contains more scene dynamic range information than the commonly used jpeg format, another common method is to manually adjust the captured raw format image, but this method requires a lot of manual participation and the raw format The collected dynamic range is also limited, and the high dynamic information of the real scene cannot be completely collected

Method used

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Embodiment Construction

[0024] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. On the contrary, the embodiments of the present invention include all changes, modifications and equivalents coming within the spirit and scope of the appended claims.

[0025] The image enhancement method of the present invention restores the high dynamic range of the real scene from two aspects of contrast and texture by using the infrared image to realize the enhancement of the original visible light image, and the method can automatically restore the information of the high dynamic scene without manual participation. The advantage of t...

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Abstract

The invention provides an image enhancement method, comprising steps that: a visible-light image and an infrared image are collected; reversible transformation is carried out on the brightness and the dimension of the visible-light image and the infrared image to obtain contrast information and texture information of the visible-light image and the infrared image; a mask is calculated on the basis of the saturation and the brightness of the visible-light image; the mask is used to migrate the visible-light image and the infrared image, and the contrast information for enhancing the visible-light image is calculated; the mask is used to migrate the visible-light image and the infrared image, and the texture information for enhancing the visible-light image is calculated; reversible transformation is carried out to obtain the brightness of the enhanced visible-light image; and the enhanced visible-light image is obtained on the basis of the brightness of the enhanced visible-light image, the saturation of the visible-light image and tone mixing. The image enhancement method of the embodiment of the invention can automatically realize high dynamic scene information recovery and achieve high qualified visible light image enhancement from two aspects of the contrast and the texture.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an image enhancement method. Background technique [0002] Due to the limitation of the dynamic range of the image captured by the visible light camera, capturing a scene with a sharp contrast between light and dark may result in some areas of the acquired image being too bright and some areas being too dark. In order to obtain an image with a high dynamic range, it is generally necessary to collect multiple images with different exposure levels, and to adjust the tone, that is, to convert the high dynamic range brightness image into a corresponding low dynamic range image. This type of image is generally only suitable for static scenes. Since the original raw format contains more scene dynamic range information than the commonly used jpeg format, another common method is to manually adjust the captured raw format image, but this method requires a lot of manual participation and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 戴琼海付莹刘烨斌
Owner TSINGHUA UNIV
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