Method and system for providing high resolution image through super-resolution reconstruction

A system for providing high resolution image through super-resolution reconstruction, which can be in data linking with an image capturing device to obtain a plurality of high-resolution frames and a plurality of low-resolution frames captured by said image capturing device so as to allow viewing a monitored image through an user terminal device after data linking, said system comprising:

• a frame buffer for receiving, temporarily storing one said high-resolution frame, one said low-resolution frame and a super-resolution frame;
• a convolutional neural network module in data linking with said frame buffer to perform multiple convolution operations on said high-resolution frame, so as to generate a plurality of candidate high-resolution pixel sets;
• and to perform at least one said convolution operation on said plurality of candidate high-resolution pixel sets so as to generate a selected high-resolution pixel set;
• and to perform at least one said convolution operation on said selected high-resolution pixel set and said low-resolution frame simultaneously so as to generate a post-processing residual value;
• an image processing module in data linking with said convolutional neural network module, said image processing module has an image addition unit for performing image addition operation on said post-processing residual value and said low-resolution frame so as to generate a forward prediction high-resolution frame and a reverse prediction high-resolution frame of the same time point;
• a bi-directional prediction module in data linking with said convolutional neural network module for receiving said forward prediction high-resolution frame and said reverse prediction high-resolution frame, and then transmitting these frames to said convolutional neural network module to perform said convolution operation so as to generate said super-resolution frame.