Image processing method, intelligent terminal and storage medium
An image processing and image collection technology, applied in the field of image processing, can solve problems such as color distortion, time-consuming, uneven brightness, etc., and achieve the effect of solving low enhancement efficiency, improving enhancement efficiency, and improving user experience
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no. 1 example
[0071] see image 3 , image 3 A schematic flowchart of the image processing provided in the embodiment of the present application;
[0072] The image processing method provided in this embodiment is applied to an intelligent terminal, and the method includes the following steps:
[0073] S10: collect image information in the first environment;
[0074] It can be understood that the first environment refers to the underwater environment, and the second environment refers to the aquatic environment. The images collected underwater usually have various degradation problems, such as fogging, blue-green cast, blurred details, distortion, brightness, etc. The problem is that the original underwater image has low visibility and poor look and feel. Based on this, the underwater image needs to be enhanced.
[0075] In this embodiment, underwater images of different sea areas and different depths are collected as experimental data. Because the turbidity of the images in different se...
no. 2 example
[0082] see Figure 4 , Figure 4 is a schematic flowchart of the image processing method shown in the first embodiment;
[0083] The image processing method provided in this embodiment is applied to an intelligent terminal, and the steps of S20 include:
[0084] Step S21, acquiring at least one image feature based on the image information;
[0085] Step S22, using a preset coupling model to perform coupling processing on at least one of the image features to obtain target correction parameters, and correct the image information based on the target correction parameters.
[0086] It should be noted that the existing picture correction method is to correct each feature to be corrected one by one, for example, first correct the color of the picture, then correct the brightness of the picture, and finally correct the clarity of the picture. In this way, some parts will be lost in the process of color correction. When correcting other image features, the corrected image is quite...
no. 3 example
[0092] see Figure 5 , Figure 5 Another schematic flowchart of the image processing provided by the embodiment of the present application;
[0093] The image processing method provided in this embodiment is applied to an intelligent terminal, and the method includes the following steps:
[0094] S100. Acquire an image training set, wherein the image training set includes a first image set collected based on the second environment and a second image set obtained by collecting the first image set based on the first environment;
[0095] S200, an image correction model is obtained by preset processing according to the image training set.
[0096] Before training the model, an image training set for training the model needs to be constructed, and the image training set includes a training set and a validation set. Then, use the waterproof display screen to scroll and play the first image set in different underwater environments, and at the same time use a waterproof camera to ...
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