Image defogging method based on retina color perception dark channel principle
A color channel and retina technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of low self-adaptive ability, achieve the effect of simple method process and improve image visual quality
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Embodiment 1
[0074] An image defogging method based on the principle of retinal color perception dark channel, taking a real color foggy image as an example, includes the following steps:
[0075] S1: Obtain the original foggy image. The original foggy image mainly comes from the real test image datasets at home and abroad, such as figure 2 shown;
[0076] S2: Use the retinal color perception mechanism to calculate the foggy image in step S1, and calculate the three color channels of the color foggy image. The calculation process includes the following steps:
[0077] (1) Calculate the response of retinal bipolar cells, the calculation formula is as follows:
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[0082] (2) Response of retinal ganglion cells, the calculation formula is as follows:
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[0085] (3) Based on the color perception mechanism of the retinal receptive field in the visual system, color perception calculations are performed on the three color chann...
Embodiment 2
[0127] An image defogging method based on the principle of retinal color perception dark channel, taking the artificially fogged color foggy image as an example, as shown in image 3 Shown is an acquired color image not contaminated by fog, as Figure 4 Shown is the colored foggy image after artificial fogging, such as Figure 5 The image shown is the restored color image. The color foggy image after artificial fogging comes from the commonly used artificially synthesized test image datasets at home and abroad.
[0128] Embodiment 2 adopts the same steps and parameters as Embodiment 1, that is, retinal color perception calculation step 2 is the same as Embodiment 1, and the parameter values are the same as those in Embodiment 1. In step 3, the image is restored based on the dark channel principle , the value of the parameter is the same as that in Example 1. Through objective quality evaluation, for the color foggy image after artificial fogging, the peak signal to noise ra...
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