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Low-illumination image quality improvement method based on Retinex model
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A technology of image quality and low illumination, applied in the field of image processing, can solve problems such as poor image quality, achieve the effect of improving overall contrast, improving image quality, and enhancing details
Active Publication Date: 2022-05-03
HARBIN UNIV OF SCI & TECH
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[0004] The purpose of the present invention is to solve the problem that the quality of the image obtained is poor when the low-illuminance image is processed by the existing low-illuminance image quality improvement algorithm, and proposes a method for improving the quality of the low-illumination image based on the Retinex model
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specific Embodiment approach 1
[0048] Specific implementation mode 1. Combination figure 1 This embodiment will be described. A kind of low illumination image quality improvement method based on Retinex model described in the present embodiment, described method specifically comprises the following steps:
[0049] Step 1, after converting the acquired image from the RGB channel to the HSV channel, obtain the data of the V channel, the H channel and the S channel respectively;
[0050] Then decompose the V channel data into light layer image and detail layer image;
[0051] Step 2, performing global brightness mapping processing on the illumination layer image to obtain the illumination layer image after the global brightness mapping;
[0052] Then expand the pixel value range of the illumination layer image after the global brightness mapping, and obtain the illumination layer image after the pixel value range expansion, that is, the illumination enhancement image;
[0053] Step 3, using the detail layer...
specific Embodiment approach 2
[0056] Embodiment 2: The difference between this embodiment and Embodiment 1 is that in the first step, the V channel data is decomposed into an illumination layer image and a detail layer image, and the specific process is as follows:
[0057] I(x,y)=c(x,y)×L(x,y) (1)
[0058]Among them, I(x, y) represents the pixel value of the V channel data at the pixel point (x, y), L(x, y) represents the pixel value of the light layer image at the pixel point (x, y), c( x, y) represents the pixel value of the detail layer image at the pixel point (x, y).
[0059] According to the Retinex model, a digital image can be decomposed into an illumination layer image and a detail layer image. The illumination layer image determines the overall light and dark contrast of the image, and the detail layer image determines the details and texture of the image. The pixel point (x, y) is the coordinate in the image coordinate system, with the width direction of the image as the x-axis and the height ...
specific Embodiment approach 3
[0061] Embodiment 3: This embodiment differs from Embodiment 1 or Embodiment 2 in that the illumination layer image is obtained by convolution calculation of the V channel data and a Gaussian kernel with a variance of 1.
[0062] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.
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Abstract
The invention discloses a low-illumination image quality improvement method based on a Retinex model, and belongs to the technical field of image processing. According to the invention, the problem that the quality of the obtained image is poor when the existing low-illumination image quality improvement algorithm is adopted to process the low-illumination image is solved. The method comprises the following steps: firstly, layering a digital image through a Retinex model to obtain a detail layer image and an illumination layer image; secondly, designing a nonlinear global brightness mapping function, and mapping the illumination layer image to obtain an illumination layer enhanced image; designing a nonlinear detail layer image mapping function again, and stretching the detail layer image to obtain a detail layer enhanced image; and finally, multiplying each pixel of the detail layer enhanced image and the illumination layer enhanced image to synthesize a low-illumination enhanced image. The method can be applied to improving the quality of the low-illumination image.
Description
technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for improving low-illuminanceimage quality based on a Retinex model. Background technique [0002] Because the light is easily affected by the environment in the propagation path, the image captured by the digital camera has uneven brightness distribution, details and textures in low-illumination areas are not clear, and the image quality and human visualization effect are poor. Therefore, how to improve the influence of the low illumination effect on the image quality has become a hot issue in the field of image processing in recent years. [0003] The classic low-light image quality improvement algorithms mainly include image gray level segmentation mapping algorithm, histogramequalizationalgorithm and Gamma correctionalgorithm. Although the classic low-light image quality improvement algorithm can suppress the visual problems caused by the lo...
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