改进投影变换和保留结构特征的拼接图像修复算法  

Splicing image completion algorithm to improve projection transformation and reserve structure feature

作　　者：魏启元 吕晓琪[1] 谷宇[1] 

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014010

出　　处：《现代电子技术》2017年第23期38-42,46,共6页Modern Electronics Technique

基　　金：国家自然科学基金项目(61179019);内蒙古自治区自然科学基金(2015MS0604);包头市科技局项目(2015C2006-14)

摘　　要：拼接图像含有不规则的边界,需通过裁剪图像和补充像素获得矩形图像。直接裁剪的方式丢弃了图像周围的像素;基于样本块的图像修复算法存在物体结构上的不连续和不完整;利用马尔科夫随机场模型修补图像的方法搜索范围大,效率低。提出通过改进投影变换实现拼接图像的空间变换,减少拼接后图像周围的空缺区域面积,结合边界保留的细缝段裁剪算法对拼接图像进行矩形化扩充,实现拼接图像周围像素和内部物体结构信息的保留。实验结果表明,该方法实现了拼接图像视角最大化,未引入视觉可见形变,有效实现了拼接图像的矩形修复。The splicing image contains the irregular boundary,and its rectangular shape is acquired by means of image cutting and pixel supplementary. Since the direct cutting mode may discard the pixels around the image,the image completion algorithm based on sample block has the discontinuous and incomplete object structure,and the image completion method based on Markov random field model has broad search scope and low efficiency,a method of improving the projection transformation is proposed to realize the space transformation of the splicing image,so as to reduce the vacant areas around the spliced image,and combined the seam segment carving algorithm for boundary feature reservation to perform the rectangular expansion for the splicing image so as to realize the reservation of the pixels around the splicing image and object structure information inside the image. The experimental results show that the proposed method can realize the maximum visual angle of the splicing image,and rectangular completion of the splicing image without the visual visible deformation.

关 键 词：拼接图像 矩形化扩充 细缝段裁剪 边界保留 图像修补 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]