Multiframe super-resolution reconstruction is an active topic in image processing which is urgently needed in many military and civilian applications as well as theoretical interests.

Research on Super-Resolution Reconstruction;

Research on the Algorithm of Super-resolution Reconstruction of Infrared Images Based on MAP;

Learning-based super-resolution reconstruction

A dynamic adaptive filter for video sequence super resolution reconstruction is proposed.

An adaptive filter for video image sequence super resolution reconstruction is proposed on the basis of the weighted least square and PDE regularization in this paper.

Aiming at the problems in process of reconstruct images for super resolution reconstruction algorithm based on Maximum A Posteriori(MAP) ,a super resolution reconstruction based on Huber-Markov Random Field(HMRF) prior model is proposed.

Learning-based super-resolution reconstruction of face image

The dissertation investigates several key issues of super-resolution of video and image sequences including blur parameter estimation, block based motion estimation and regularization based ima

Image super-resolution reconstruction is a technique to estimate a high-resolution image (or sequence) from a single image or an image sequence having slight difference and combating additive noise and blurring due to the finite detector size and optics.