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基于样块改进的图像修复算法

王一卜 白艳萍

火力与指挥控制2017,Vol.42Issue(3):55-58,63,5.
火力与指挥控制2017,Vol.42Issue(3):55-58,63,5.

基于样块改进的图像修复算法

Image Restoration Algorithm Based on Sample Block

王一卜 1白艳萍1

作者信息

  • 1. 中北大学理学院,太原 030051
  • 折叠

摘要

Abstract

Image inpainting refers to filling the damaged areas of the image or removing the redundant objects from the image. Conduct some improvements on the basis of Criminisi algorithm. As the curvature of equal illumination can reflect the internal characteristics of the image,variance value between the block and block can reflect the image edge information,adding them to the calculation of the priority of the repair block to ensure the inpainting can conduct accurately and orderly. When searching for the best matching block,the curvature of the equal illumination is added as a factor. The accuracy of searching for the best matching block is effectively improved. After the simulation experiment,the improved algorithm not only prove the PSNR value than the original algorithm,but also the obtained results are more accurate and reliable than the original algorithm.

关键词

图像修复/优先权/等照度线曲率/最佳匹配块

Key words

image inpainting/priority/curvature of equal illumination/the best matching block

分类

信息技术与安全科学

引用本文复制引用

王一卜,白艳萍..基于样块改进的图像修复算法[J].火力与指挥控制,2017,42(3):55-58,63,5.

基金项目

国家自然科学基金资助项目(61275120) (61275120)

火力与指挥控制

OA北大核心CSCDCSTPCD

1002-0640

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