Author(s): Zhu Li, Collge of Computer, Xi’an University of Science and Technology
Pages: 127-131
Year: 2016 Issue:  3
Journal: Application of Electronic Technique
Keyword:  image reconstruction; sub-pixel; regularization operator; local adaptive; gain map; super-resolution;
Abstract: Owing to these defects such as blurring effect and ringing effect, caused by the current image reconstruction algorithm for the ill- posed multi- frame super- resolution image, this paper proposes an effective mechanism based on local adaptive regulariza-tion for image reconstruction. First, by analysis of the sub- pixel shifts in low- resolution image, the high and low resolution forma-tion model is constructed, and by estimate an HR image, the reconstruction problems are transformed into an unstable linear equa-tions. Then, a regularization operator is constructed, combined modified algebraic reconstruction technique for the solution of the lin-ear equations. Finally, the gain control method based on local adaptive regularization is used to realize construction of gain map,and complete the SR image reconstruction. The simulation results show that comparing with current image reconstruction algorithm,the reconstruction performance of this mechanism is better, which effectively reduces the blurring effect and ringing effect under the condition of LR image.