红外与激光工程, 2003, 32 (6): 613, 网络出版: 2006-04-28
基于Gibbs模型的提高图像分辨率方法
Restoration of high resolution image based on Gibbs model
摘要
在提高图像分辨率过程中,选择合适的成像模型是获得高分辨率图像的一个关键因素.提出一种基于最大后验概率、采用Gibbs成像模型,并利用多帧序列图像重构高分辨率图像的方法,充分利用序列图像之间的累加信息,从而快速地获得较其他方法更优的高分辨率图像.
Abstract
During the image restoration, choosing a proper model that describes the image is the key of restoration. A MAP framework based on Gibbs to extract a single super resolution image from image sequences is proposed. Additional novel observation data can be obtained and the feasible solution space is constrained with apriori assumptions on the form of the solution. Experimental results are provided to illustrate the performance of the algorithm that is better and faster than others.
彭旭俊, 张桂林. 基于Gibbs模型的提高图像分辨率方法[J]. 红外与激光工程, 2003, 32(6): 613. 彭旭俊, 张桂林. Restoration of high resolution image based on Gibbs model[J]. Infrared and Laser Engineering, 2003, 32(6): 613.
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