摘要
针对图像上划痕等小区域的恢复问题,提出了一种顾及边缘的各向异性马尔可夫随机场修复模型,并采用模拟退火算法实现解算。对不同类型的图像进行了修复实验,获得了较好的修复效果。
The goal of image inpainting is to restore the damaged or missing pixels on images and now it is a hot-point research topic in image engineering.In order to restore narrow gaps on damaged images,we propose a type of anisotropic inpainting model based on Markov Random Fields.The inpainting model can preserve the edged and orientational texture and we implement our method using Simulated Annealing algorithm.Experiments show that the proposed method can obtain good results and is practical in applications.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第10期1231-1235,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40701103
40801177)
河海大学中央高校基本科研业务经费资助项目(2009B12114)
关键词
马尔可夫随机场
图像修复
模拟退火
各向异性
Markov random fields
image inpainting
simulated annealing
anisotropic
