Image processing method and device and terminal equipment
An image processing and image technology, applied in the field of image processing, can solve the problem of many false details and achieve the effect of less noise and artifacts and clear details
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Embodiment 1
[0042]At present, the improvement of image super-resolution based on deep learning methods is usually aimed at model structure or training methods. These methods work well when super-resolution processing is performed on the second image obtained by simulation, but when processing the second image actually acquired , the effect is significantly reduced. In order to solve this technical problem, when the application trains the high-frequency image generation network and the low-frequency image generation network, the training samples used are directly selected from the real second image and the real first image collected by the terminal device to ensure the training The robustness of the resulting high-frequency image generation network and the trained low-frequency image generation network when performing super-resolution processing on real second images. In addition, when the present application trains the high-frequency image generation network and the low-frequency image ge...
Embodiment 2
[0134] Corresponding to the image processing method described in the first embodiment above, Figure 8 A structural block diagram of the image processing apparatus provided by the embodiment of the present application is shown, and for convenience of description, only parts related to the embodiment of the present application are shown.
[0135] refer to Figure 8 , the image processing device 8 includes: an image acquisition unit 81 to be reconstructed, a high-low frequency image extraction unit 82, a second high-frequency image generation unit 83, a second low-frequency image generation unit 84, and an image reconstruction unit 85, wherein:
[0136] An image to be reconstructed acquiring unit 81, configured to acquire an image to be reconstructed;
[0137] A high and low frequency image extraction unit 82, configured to extract high frequency components and low frequency components of the image to be reconstructed, to obtain a first high frequency image composed of the high...
Embodiment 3
[0146] Figure 9 It is a schematic structural diagram of a terminal device provided in Embodiment 3 of the present application. Such as Figure 9 As shown, the terminal device 9 of this embodiment includes: at least one processor 90 ( Figure 9 Only one processor is shown in ), a memory 91, and a computer program 92 stored in the memory 91 and operable on the at least one processor 90, when the processor 90 executes the computer program 92, the above-mentioned Steps in any of the various method embodiments:
[0147] Obtain the image to be reconstructed;
[0148] extracting the high-frequency component and low-frequency component of the image to be reconstructed to obtain a first high-frequency image composed of the high-frequency component and a first low-frequency image composed of the low-frequency component, wherein the high-frequency component is refers to a frequency component greater than or equal to a preset frequency threshold, and the low frequency component refer...
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