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Improved HSI space information low-illumination color image enhancement algorithm

A color image and image enhancement technology, which is applied in the field of computer vision, can solve problems such as color distortion, and achieve the effects of realistic and natural colors, suppressing noise, and improving brightness and contrast

Inactive Publication Date: 2017-03-15
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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AI Technical Summary

Problems solved by technology

Image enhancement methods based on human visual characteristics mainly include: image enhancement methods based on Retinex theory, and improved algorithms such as single-scale Retinex, multi-scale Retinex and multi-scale Retinex algorithms with color restoration developed on this basis. Although these methods It conforms to the visual characteristics of human eyes, but there will be different degrees of color distortion

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  • Improved HSI space information low-illumination color image enhancement algorithm
  • Improved HSI space information low-illumination color image enhancement algorithm
  • Improved HSI space information low-illumination color image enhancement algorithm

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Embodiment Construction

[0050] Taking a common single low-illuminance color image as an example, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0051] The first step: read the original low-light color image, and convert the color space into the HSI color space;

[0052] According to the human eye structure, all colors can be seen as different combinations of 3 basic colors - red (R, Red), green (G, Green), and blue (B, Blue). The RGB model is a mixed color space developed on the basis of the theory of three primary colors. It uses different amounts of R, G, and B to add three primary colors to produce different colors. The HSI color space is an intuitive color model. It starts from the human visual system and uses H (hue, hue), S (Saturation, saturation) and I (Intensity, brightness) to describe colors. Converting the original image from the RGB color space to the HSI color space that conforms to the visual characteristics of the human eye ...

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Abstract

The invention relates to the computer vision field, and specifically discloses an improved HSI (Hue, Saturation and Intensity) space information low-illumination color image enhancement algorithm. The improved HSI space information low-illumination color image enhancement algorithm includes the following steps: reading an original low-illumination color image, converting the color space into an HSI color space which is more close to the desired value of human vision sensuously, keeping the hue H component, and performing linear stretching on the color saturation degree S; performing improved MSR algorithm enhancement on the intensity I component; and switching the image to the RGB (Red, Green and Blue) color space from the HSI color space, and obtaining a color image after enhancement. The improved HSI space information low-illumination color image enhancement algorithm can effectively improve the contrast of a low-illumination image, can enrich the detail information of the image to enable the image to accord with the perception of vision of human eyes, and enables the image to be more lifelike.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a low-illuminance color image enhancement algorithm based on improved HSI space information. Background technique [0002] In the application of image acquisition or video surveillance, due to the influence of external factors such as bad weather, uneven illumination, and low illumination, the obtained images often have problems such as uneven brightness, low contrast, color distortion, and blurred edges, resulting in image The quality deteriorates, affecting subsequent information interpretation and extraction. Therefore, in order to improve the quality of color images and extract more usable information, fast and effective image enhancement algorithms have become one of the key contents in the field of image analysis and understanding. [0003] Existing image enhancement methods mainly include traditional spatial and frequency domain image enhancement algorithms, image enhanceme...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/92
Inventor 颜微马昊辰冉骏
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH