陈仁喜, 李鑫慧, 李盛阳. 基于MRF的各向异性图像修复模型[J]. 武汉大学学报 ( 信息科学版), 2010, 35(10): 1231-1235.
引用本文: 陈仁喜, 李鑫慧, 李盛阳. 基于MRF的各向异性图像修复模型[J]. 武汉大学学报 ( 信息科学版), 2010, 35(10): 1231-1235.
CHEN Renxi, LI Xinhui, LI Shengyang. Anisotropic Image Inpainting Model Based on MRF[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1231-1235.
Citation: CHEN Renxi, LI Xinhui, LI Shengyang. Anisotropic Image Inpainting Model Based on MRF[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1231-1235.

基于MRF的各向异性图像修复模型

Anisotropic Image Inpainting Model Based on MRF

  • 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。

     

    Abstract: 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.

     

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