Extremely dark image visual quality improving method, system and device and medium
A visual quality and system improvement technology, applied in the field of image processing, can solve problems such as poor noise suppression effect, large noise, and image blur in extremely dark images, and achieve the effects of avoiding color distortion, suppressing image noise, and improving contrast
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[0028] Example 1
[0029] According to Retinex theory, an image can be expressed as the product of reflectance and incident light, as shown in formula (1). Based on this theory, the present disclosure constructs a variational model, and combines linear mapping, image bright channels, and homomorphic filtering to achieve extremely dark image brightness enhancement and de-manipulation.
[0030] O c (x) = I c (x)·R c (x)c∈{r,g,b} (1)
[0031] Where O c (x) is the original image (very dark image), I c (x) represents incident light, R c (x) represents reflectivity, x represents pixel coordinates, c represents the three channels of image red, green and blue, and ‘·’ represents the corresponding multiplication of matrix elements.
[0032] Such as figure 1 As shown, the present disclosure provides, including the following steps:
[0033] (1) Extract the bright channel image from the acquired extremely dark image, and calculate the incident light of the image based on the bright channel image; ...
Example Embodiment
[0066] Example 2
[0067] The present disclosure provides a system for improving the visual quality of extremely dark images, including:
[0068] The image incident light calculation module is configured to extract a bright channel image from the acquired extremely dark image, and calculate the image incident light based on the bright channel image;
[0069] The HSV space module is configured to convert the RGB space of the extremely dark image to the HSV space, and extract the V channel image of the HSV space;
[0070] The image denoising module is configured to create a total variation model, and input the incident light of the image and the V channel map into the total variation model to obtain a denoised image;
[0071] The image enhancement module is configured to enhance the contrast of the denoised image in the HSV space, and convert the processed denoised image to the RGB space to complete the visual quality improvement of the extremely dark image.
[0072] The image incident lig...
Example Embodiment
[0079] Example 3
[0080] The present disclosure provides an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor. The feature is that the processor executes the program when the program is executed. The image visual quality improvement method will not be repeated here.
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