282results about How to "Improve reconstruction effect" patented technology

The invention discloses a face image super-resolution secondary reconstruction method, which comprises the following steps of firstly, carrying out face detection and target extraction on an acquiredmonitoring video to obtain a certain amount (20-30 frames) of target face image, carrying out quality evaluation on the obtained image based on an evaluation model, and preferentially selecting multiple frames (3-5 frames); secondly, carrying out super-resolution reconstruction on the result to synthesize a plurality of frames of images into a high-quality virtual image; constructing a face imagesuper-resolution reconstruction model MRES based on the convolutional neural network CNN again, wherein the model is used for learning the mapping relation between the high-resolution sample image andthe corresponding low-resolution image and is based on an inception structure for removing a pooling layer, a residual error learning idea for reducing learning difficulty is adopted, a multi-scale aggregation module capable of comprehensively extracting characteristics is used, and a deconvolution layer is added to replace an interpolation operation; and finally, training the second step by using the training model in the third step to obtain a high-resolution face image. According to the method, the reconstruction effect can be improved within the controllable training time.