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Novel high dynamic range image generation method

A high dynamic range, image generation technology, applied in the field of image processing

Active Publication Date: 2019-10-25
SOUTHWEAT UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of generating high dynamic range images from low dynamic range images, and provide a new method for directly generating high dynamic range images from a single low dynamic range image, through which a high dynamic range image can be obtained

Method used

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Embodiment Construction

[0025] In order to better understand the present invention, the method for generating a high dynamic range image from a single low dynamic range image based on layering of detail layers in the present invention will be described in more detail below in conjunction with specific embodiments. In the following description, detailed descriptions of currently existing prior art may obscure the subject matter of the present invention, and these descriptions will be omitted here.

[0026] figure 1 It is a flow chart of a specific embodiment of the method for generating a single high dynamic range image of the present invention. In this embodiment, proceed according to the following steps:

[0027] Step 1, acquire a low dynamic range image, such as figure 2 ;

[0028] Step 2, performing color space transformation on the low dynamic range image;

[0029] The conversion formula used is as follows:

[0030]

[0031] in, R , G , B are the pixel values ​​of the three components ...

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Abstract

The invention provides a high dynamic range image generation method based on inverse tone mapping and saturation adjustment. The method is based on visual characteristics of human eyes, and comprisesthe following steps: firstly, converting an original low-dynamic-range image from an RGB color space to an HSV color space, and separating out a brightness component and a saturation component of thelow-dynamic-range image; secondly, performing inverse tone mapping expansion on the brightness component, separating out a highlight area, performing gamma correction on the highlight area, and fusinga low light area to obtain a new brightness component; then, carrying out linear pull-up on the saturation component, calculating correlation coefficients of the brightness component and the saturation pair component of the original image at the same time, and adjusting the pulled-up saturation component according to the new brightness component and the correlation coefficients to obtain a new saturation component; and finally, fusing the new brightness component, the new saturation component and the tone component to obtain a high-dynamic-range image of the HSV space, and converting the image into an RGB color space to obtain a final high-dynamic-range image.

Description

technical field [0001] The invention relates to image processing technology, in particular to a high dynamic range image generation method based on inverse tone mapping and saturation adjustment. Background technique [0002] In the field of digital images, dynamic range refers to the ratio of the maximum brightness value to the minimum brightness value in an image scene. The larger the dynamic range of the image, the wider the range of light intensity detected when the image is taken, and the richer the detailed information presented in the image. However, due to the limitations of current imaging equipment, it is often only possible to capture a limited dynamic range, resulting in a large lack of detail in the obtained image, which cannot be compared with the real scene perceived by the human eye. Compared with ordinary images, high dynamic range images (high dynamic range, HDR) can provide larger dynamic range and richer detail information, which is more consistent with ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/90
CPCG06T7/90G06T5/90
Inventor 张红英张媛媛吴亚东
Owner SOUTHWEAT UNIV OF SCI & TECH
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