Transform-based underwater image enhancement method
An underwater image and image technology, which is applied in image enhancement, image coding, image data processing, etc., can solve the problems of underwater image quality degradation, blurring, etc., and achieve better detail features, better enhancement effects, and better image enhancement effect of effect
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specific Embodiment 1
[0029] according to Figure 1 to Figure 4 As shown, the specific optimization technical scheme taken for solving the above-mentioned technical problems is: the present invention relates to a Transformer-based underwater image enhancement method:
[0030] A Transformer-based underwater image enhancement method, comprising the following steps:
[0031] Step 1: Input the underwater image to be enhanced through the input terminal, and use the multi-level down-sampling module to down-sample through convolution to obtain images at different scales;
[0032] The step 1 is specifically:
[0033] Convolution kernels of different sizes are used for step-by-step downsampling, and the size of the original image is gradually reduced. While obtaining the original images at different scales, the memory required for subsequent Transformer processing is limited.
[0034] Step 2: Through the global feature extraction module, the method of convolution and residual block is used to extract the ...
specific Embodiment 2
[0046] Step 1, the image to be enhanced is input to the underwater image enhancement processing network through some pre-processing;
[0047] Step 2, using the underwater image processing network to enhance this type of degraded underwater image;
[0048] Step 3. Output and obtain the final enhanced result map
[0049] The first step is specifically as follows: firstly, preprocessing is performed on the optical image to be enhanced (underwater optical image) obtained from various sources. Since the size of the input part of the network is fixed, the size of the input image needs to be processed into an appropriate size .
[0050]The second step specifically includes: using the underwater image enhancement network in the present invention to perform image enhancement. What is designed in the present invention is actually an end-to-end network, and the effect to be obtained is to directly obtain an output enhanced image after inputting the image into the network. The main str...
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