长春大学学报（自然科学版）2015，Vol.25Issue(4)：22-26,49,6.
改进的基于区域加权信息熵的图像修复方法
An Imporved Image Completion Based on Regional Weigh ted Entropy
摘要
Abstract
In view of the low efficiency of image completion, a new restoration algorithm based regional weighted entropy is proposed, which can measure color distortion by color vector angle, construct edge items to take place of data items in Criminisi Algorithm and im-prove the calculation of priority;Furthermore, it divides the image restoration regions into blocks by regional weighted entropy, so as to determine the best matching block according to the entropy values.The experimental results show that the improved restoration method has better effect and costs less time.关键词
图像修复/区域加权信息熵/优先权/Criminisi算法Key words
image completion/regional weighted entropy/priority/Criminisi Algorithm分类
信息技术与安全科学引用本文复制引用
吴长勤,王亚军,王传安..改进的基于区域加权信息熵的图像修复方法[J].长春大学学报（自然科学版）,2015,25(4):22-26,49,6.基金项目
安徽省教育厅自然科学基金(KJ2013Z048)资助. （KJ2013Z048）
