Dual nonlinear image enhancement method with brightness and saturation

An image enhancement, non-linear technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of loss of details, over-enhancement, etc., to achieve the effect of enhancing details, enhancing brightness and saturation

Active Publication Date: 2019-03-19
HUAQIAO UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a double non-linear image enhancement method with brightness and saturation, which can adaptively enhance the brightness and saturation of the image, and at the same time, it can enhance the inconspicuous details in the image. Enhancement solves the problem of insufficient enhancement or over-enhancement and loss of details after enhancement in the existing gamma transformation related methods, and an image with good visual characteristics can be obtained through the method of the present invention

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  • Dual nonlinear image enhancement method with brightness and saturation
  • Dual nonlinear image enhancement method with brightness and saturation
  • Dual nonlinear image enhancement method with brightness and saturation

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[0031] see figure 1 Described is a dual nonlinear image enhancement method with brightness and saturation of the present invention, which specifically includes the following steps:

[0032] Step a), receive the color image of the input 8-bit RGB color space, and convert the color image to HSV color space; mark the image of V channel as img_v, and carry out V channel by pixel value from small to large Sort, calculate the gray average darkmean of the first 50% pixels, and then calculate the parameter value vk through the e-exponential function.

[0033] Described step a) specifically comprises:

[0034] Step a1) input the digital color image of the RGB color space of 8 bits, utilize the international color space conversion formula to convert the color image of the input RGB color space into the color image of the HSV color space; and S channel and V channel The pixel value range of 0-1 is enlarged from 0-1 to 0-255, which is convenient for unified calculation later;

[0035] ...

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Abstract

The invention discloses a dual nonlinear image enhancement method with brightness and saturation. The method comprises the following steps of: firstly, converting an input color image from an RGB (RedGreen Blue) color space into an HSV (Hue Saturation Value) color space; the V channel can be enhanced by multiplying the enhancement coefficient obtained by the monotonically decreasing nonlinear concave function by the V channel image; multiplying the S-channel image by an enhancement coefficient obtained through linear change of a near Gaussian function to carry out nonlinear enhancement; and finally, converting the image from the HSV color space to the RGB color space to obtain a brightness and saturation dual-enhanced image. According to the color image nonlinear enhancement method provided by the invention, the overall brightness and saturation of the image can be enhanced, so that the overall quality of the image is improved, and the color image nonlinear enhancement method is suitable for various color images, low in calculation complexity and remarkable in processing effect.

Description

technical field [0001] The invention belongs to the field of brightness and saturation enhancement of images and videos, and particularly relates to a dual nonlinear image enhancement method with brightness and saturation. Background technique [0002] In real life, affected by the variability of environmental factors and equipment conditions, the effects of normally captured images and videos are often insufficient to meet the visual requirements of the human eye. Therefore, video image enhancement technology came into being. People use image enhancement technology to enhance the required images and videos to achieve the desired effect. [0003] According to the difference of the spatial domain, image enhancement techniques can be divided into two categories, namely, the enhancement algorithm based on the spatial domain and the enhancement algorithm based on the frequency domain. The dual nonlinear image enhancement method with brightness and saturation is an enhancement ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/77G06T5/90
Inventor 戴声奎陈翔程张超高剑萍
Owner HUAQIAO UNIVERSITY
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