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Image enhancement method and computer readable storage medium

An image enhancement and image technology, applied in the field of image processing, can solve problems such as the inability to guarantee multiple shooting of the same scene, uncontrollable shooting mode, etc., to achieve the effect of strong practicability, enhanced details, and improved image quality

Inactive Publication Date: 2018-01-09
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, in many applications, such as biological cavity endoscopy, etc., since the cavity and the shooting device are constantly moving, it cannot be guaranteed that the same scene will be shot multiple times, and the shooting mode of the shooting device in the cavity is also uncontrollable

Method used

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  • Image enhancement method and computer readable storage medium
  • Image enhancement method and computer readable storage medium
  • Image enhancement method and computer readable storage medium

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Embodiment 1

[0048] This embodiment provides an image enhancement method. The method in this embodiment performs image enhancement based on the guidance image, such as figure 1 shown, including the following steps:

[0049]S1: image color space conversion step: convert the image to be processed from RGB (red green blue) color space to HSI (hue saturation brightness) color space;

[0050] S2: Image preprocessing step: performing histogram distribution statistics and histogram equalization on the brightness component of the image to be processed, to obtain the pixel value of the preprocessed image;

[0051] Due to the uneven brightness of the autonomous lighting scene, this embodiment only processes the brightness component, maintaining the original chroma and saturation, and avoiding image color distortion. Preliminarily improve the contrast of the image through preprocessing to avoid over-enhancement.

[0052] S3: Step of correcting the guiding image: using the histogram distribution of ...

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Abstract

The invention discloses an image enhancement method and a computer readable storage medium, aiming at improving the image quality. The image enhancement method includes the steps of converting an image to be processed from an RGB color space into an HIS color space; subjecting a luminance component of the image to be processed to histogram distribution statistics and histogram equalization so as to obtain a pixel value of the image to be processed; correcting histogram distribution of the luminance component of the image to be processed by histogram distribution of a luminance component of a guide image, and acquiring the luminance component of the image to be processed, wherein the guide image is part of or all of an image related to the image to be processed and higher than that in quality or part of the image to be processed; converting the luminance component of the corrected image from the HIS color space into the RGB color space. The image enhancement method has the advantages that the high-quality clear image with similar scenes is used for guiding enhancement of the poor-quality image, so that a contrast ratio of the image can be increased effectively and image details areenhanced.

Description

technical field [0001] The invention relates to image processing technology, in particular to an image enhancement method and a computer-readable storage medium. Background technique [0002] Taking pictures under autonomous lighting conditions, such as pipelines, tunnels, biological cavities, night monitoring, etc., due to poor lighting conditions, there are extremely dark and unevenly illuminated areas, so the quality of the collected images is poor and the contrast is low. Details are not clear and so on. The quality of the image directly affects the judgment of the scene, so it is extremely important to enhance the image. [0003] At present, the methods for image enhancement mainly include histogram equalization, unsharp masking, and Retinex image enhancement algorithm. Histogram equalization is widely used due to its simplicity, unsharp masking is mainly used for detail enhancement, and Retinex algorithm focuses on enhancing the contrast of high dynamic range images....

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/40
Inventor 王志华龙明珠谢翔李国林麦宋平
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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