改进的混合MAP-POCS超分辨率图像复原算法研究  

An Improved Hybrid MAP-POCS Algorithm for Super-Resolution Image Restoration Research

作　　者：绍乐图 陈晨 张红刚[1] 张国华[1] 

机构地区：[1]中国航空工业集团公司洛阳电光设备研究所,河南洛阳471000 [2]光电控制技术重点实验室,河南洛阳471000 [3]空装重点型号部,北京100843

出　　处：《电光与控制》2015年第2期41-45,共5页Electronics Optics & Control

摘　　要：超分辨率图像复原技术在不改变硬件的条件下可提高成像系统获取图像的分辨率。研究了图像退化机理,建立了精确的图像退化过程模型,提出一种改进的混合MAP-POCS复原算法,将POCS的凸集约束条件加入到MAP估计过程中。运用峰值信噪比(PSNR)等评价手段对复原图像进行质量评价。仿真结果表明,改进的混合复原算法能够有效地保证复原求解的收敛性并保持复原图像的边缘细节,提升了超分辨率的复原效果。Super-resolution image restoration technique can increase the resolution of the obtained images without altering the system hardware conditions. The image degradation mechanism is studied, and a precise image degradation process model is established. Then, an improved hybrid MAP-POCS restoration algorithm is proposed, which adds the convex set constraints to the MAP estimation process and uses the peak signal to noise ratio （PSNR） to evaluate the recovery image quality. The simulation results show that the improved hybrid algorithm can ensure the convergence stability of the restoration, maintain the edge details of the restored image, and enhance the effect of the super-resolution restoration.

关 键 词：图像复原 图像处理 超分辨率复原 退化模型 凸集投影 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]