Blind Super-resolution Image Reconstruction Based on POCS Model
Due to the high cost and physical limitations of the high precision image sensors, it is not easy to directly obtain the desired high resolution (HR) images from sensors in many cases. A new iterative superresolution (SR) algorithm based on projection onto convex sets (POCS) model is proposed, in this method, a new algorithm is adopted to estimate subpixel shift of the low-resolution (LR) images and do motion compensation. The main stage of the algorithm employs the iterative method of POCS model, utilizing some new constraint operators. The experiment shows the method is robust and effective. The disadvantage is that the convergence of the algorithm is not very fast.
Blind super-resolution POCS model subpizel estimate iterative algorithm blurred image
Xie,Wei Zhang,Feiyan Chen,Hao Qin,Qianqing
National Engineering Research Center for Multimedia Software,Wuhan University,Wuhan,China School of Electronic Information,Wuhan University,Wuhan,China National Engineering Research Center for Multimedia Software,Wuhan University,Wuhan,China;LIESMARS,W
国际会议
长沙
英文
437-440
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）