Image noise reduction method based on HQC-MCDCNN

The invention relates to the technical field of image noise reduction, in particular to an image noise reduction method based on HQC-MCDCNN, and the method comprises the following steps: carrying out the image noise reduction through employing an HQC-MCDCNN model; the HQC-MCDCNN model comprises a quantum part for feature extraction of a multi-scale variable component sub-line and a classical part for supervised learning of a multi-channel noise reduction convolutional neural network; performing feature extraction on the image by the multi-scale variable component sub-line to generate n-channel quantum feature mapping; the first path of the classical multi-path noise reduction convolutional neural network comprises the following steps: inputting quantum feature mapping, and adjusting the shape of a reconstructed image through four layers of EAM and two times of long jump connection and a two-dimensional transposed convolutional layer; the second path is the same as the first path, but the shape of the reconstr