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A Method of Image Enhancement Based on HSV Color Space

A color space and image enhancement technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as image quality degradation, image distortion, low exposure, etc., and achieve uniform image brightness distribution, overall brightness improvement, and visual effects good effect

Active Publication Date: 2019-11-08
苏州汉基视测控设备有限公司
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AI Technical Summary

Problems solved by technology

[0003] Usually, various types of noise will be introduced in the process of image processing and transmission to form image distortion.
Due to different lighting conditions during photography, the quality of the captured image will also decrease. For example, if the light is too dark, the photos taken will be underexposed or underexposed; if the light is too strong, the photos taken will be overexposed or overexposed; light distribution Unevenness causes the photos taken to be unable to express half very bright and half very dark

Method used

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  • A Method of Image Enhancement Based on HSV Color Space

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Embodiment Construction

[0038] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0039] refer to figure 1 Shown, a kind of image enhancement method based on HSV color space, this method comprises the following steps:

[0040] Step 1) Input RGB color image , and convert the RGB color image to the HSV color space to obtain the hue component H, the saturation component S and the brightness component V;

[0041] Step 2) Processing of the brightness component V:

[0042] Step 2.1) The brightness component V is sparsely decomposed based on the L0 norm to obtain the base layer image B and the detail image D;

[0043] Step 2.2) Use RTV-based texture image and JND function to enhance the detail image D, the enhanced detail image is ,

[0044] Based on the relative total variation RTV calculation, the texture of the detail image D is:

[0045] ,

[0046] in, , is the total variation of the filter window,

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Abstract

The invention discloses an HSV color space based image enhancement method. The method comprises the following steps: step 1) inputting an RGB color image Iin, and converting the RGB color image to an HSV color space so as to obtain a hue component H, a saturation component S and a luminance component V; step 2) processing the luminance component V; step 3) performing median filtering and linear enhancement on the saturation component S in the HSV color space to obtain an enhanced saturation component S'; step 4) combining the hue component H, an enhanced gray-level component V' and the enhanced saturation component S' of the HSV color space to obtain an early result HSV color space image, and converting the HSV color space image into an RGB color image I; and step 5) performing image defogging on the RGB color image I to obtain an output RGB color image Iout. According to the method, the output image is improved in overall brightness, uniform in brightness distribution, distinguishable in contour and color, outstanding in details and good in visual effect.

Description

technical field [0001] The invention belongs to the technical field of image information processing, and in particular relates to an image enhancement method based on HSV color space. Background technique [0002] Images have the characteristics of intuition, objective existence, rapidity, and high efficiency, which are beyond the reach of other media. "Reading pictures" makes people's understanding of things more simplistic and convenient. [0003] Usually, various types of noises are introduced during the process of image processing and transmission to form image distortion. Due to different lighting conditions during photography, the quality of the captured image will also decrease. For example, if the light is too dark, the photos taken will be underexposed or underexposed; if the light is too strong, the photos taken will be overexposed or overexposed; light distribution Unevenness causes the photos taken to be unable to express that half is very bright and half is ver...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/003G06T5/008G06T2207/20182G06T2207/20208
Inventor 仝武军卢宗庆唐婷
Owner 苏州汉基视测控设备有限公司
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