A color image encryption compression and super-resolution reconstruction system and method
A technology for encrypting, compressing, and coloring images, which is applied in the field of image processing, can solve problems such as poor quality of super-resolution reconstruction, and achieve the effect of improving reconstruction quality, reducing loss, and good reconstruction effect
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Embodiment 1
[0057] This embodiment provides a color image encryption compression and super-resolution reconstruction system, such as image 3 As shown, the system includes a preprocessing module, an encryption compression module, a decryption module and a reconstruction module;
[0058] The original image is input to the preprocessing module, and the preprocessing module performs a preprocessing operation on the original image to obtain a coding sequence, and inputs the original image and the coding sequence to the encryption compression module; the encryption compression module performs encryption and compression operations on the original image and the coding sequence, Obtain the encrypted compressed image file and the encrypted code sequence, and send them to the decryption module; the decryption module decrypts the encrypted compressed image file and the encrypted code sequence, obtains the interpolated image and the decrypted image, and sends them to the reconstruction module; the rec...
Embodiment 2
[0108] This embodiment provides a color image encryption compression and super-resolution reconstruction method, such as Figure 8 As shown, the method includes:
[0109] S1: Perform preprocessing operations on the original image to obtain a coding sequence;
[0110] S2: Perform encryption and compression operations on the original image and encoding sequence to obtain an encrypted compressed image file and an encrypted encoding sequence;
[0111] S3: Decrypt the encrypted compressed image file and the encrypted code sequence to obtain an interpolated image and a decrypted image;
[0112] S4: Obtain the local features of the interpolated image, the feature weight map and the upsampled image, fuse them to generate an initial reconstructed image, then use the decrypted image to correct the initial reconstructed image, and output the final reconstructed image.
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