Dark channel prior and variation Retinex-based underwater image enhancement method
A dark channel prior, underwater image technology, applied in the field of underwater image enhancement based on dark channel prior and variational Retinex, can solve the problems of uneven illumination, color degradation, blurred details, etc., to enhance image details, improve Image contrast, the effect of correcting the blue-green cast
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Embodiment 1
[0039] The embodiment of the present invention provides an underwater image enhancement method based on dark channel prior and variational Retinex, see figure 1 , the underwater image enhancement method includes the following steps:
[0040] 101: Linearly stretch the original degraded underwater image in the RGB color space based on the mean and variance of each channel to correct the color deviation;
[0041] Wherein, the aforementioned RGB color space is a technical term well known to those skilled in the art, which will not be described in detail in this embodiment of the present invention.
[0042] 102: Apply the dark channel prior theory to remove the "fog" of the image after color cast correction, so as to remove the influence of backscattering and improve the image contrast;
[0043] Wherein, the dark channel prior theory is the technical knowledge known to those skilled in the art, and the embodiment of the present invention does not repeat it here.
[0044] 103: Con...
Embodiment 2
[0049] The scheme in embodiment 1 is further introduced below in conjunction with specific calculation formulas and examples, see the following description for details:
[0050] 201: Linear stretch color correction based on mean and variance;
[0051]Among them, the R, G, and B channels of the input degraded underwater color image are separated, and the mean and variance of each channel are calculated respectively, using and represent the mean and variance of each channel, respectively.
[0052] According to the formula (1), the results of each channel after linear stretching are obtained, S CR Represents a color-corrected underwater image.
[0053]
[0054] in, The minimum value after stretching the gray value of the color channel; is the maximum value after stretching the gray value of the color channel; Get the new channel gray value for linear stretching; μ is the dynamic range parameter; S λ The gray value of the color channel of the original image.
[005...
Embodiment 3
[0083] Combine below image 3 and Figure 4 The scheme in embodiment 1 and 2 is carried out feasibility verification, see the following description for details:
[0084] 11 underwater images are used to construct the test sample set. image 3 Some examples of processing results are listed, the left side is the color degraded underwater image, and the right side is the enhanced result image of this method. Compared with the original image, the blue-green tone of the enhanced image is removed, the contrast and detail clarity of the image are significantly improved, and the phenomenon of uneven illumination is effectively solved.
[0085] Figure 4 A comparison chart of the results of this method and the processing results based on the dark channel prior [7] and the Retinex model [2] proposed by Fu Xueyang et al. is listed. The first line is the original underwater image, the second line is the dark channel prior processing result, the third line is the processing result of F...
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