A Digital Image Inpainting Method Based on Multiscale Markov Random Field

摘要：

A novel approach to image inpainting based on multiscale markov random field is introduced. The novelty lies in the combination of the local information via the inner-scale MRF technique and global information via the inter-scale markovian chain to improve the image inpainting quality. The proposed algorithm consists of three steps. In the first step, the image to be inpainted is decomposed into multiple scales. In the second step, the image at the coarsest scale is inpainted based on the MRF model. Finally, the inpainting result is obtained according to the innerscale and interscale markovian relation from the coarsest resolution to the finest one. The experimental results show that the proposal inpainting algorithm achieves fairly good results.

关键词： Digital image inpainting Multiscale Markov Random Field Belief Propagation algorithm

作者: Junxi Sun Defang Hao Lifeng Hao Huamin Yang Dongbing Gu

作者单位: Department of Electronic and Information Engineering Changchun University of Science and Technology School of Compute Science and Electronic Engineering University of Essex Colchester,CO4 3SQ U.K.

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）