摘要
基于四叉树的思想,提出了一种图像分片融合算法,通过求解若干建立在梯度域上的低维泊松方程组,实现了图像无缝融合.相比较传统的泊松算法,这种分片处理策略,一方面大大降低了大幅宽图像融合对计算机内存和计算性能的要求,为普通计算机处理大幅宽图像融合提供了新的途径,同时也能支持并行处理,从而提升大幅宽图像融合效率.算法保证了融合图像整体上分片连续,有效去除了接缝,适用于超高分辨率或航拍等大幅宽图像拼接问题.
A piecewise composition algorithm is proposed for ultra wide stitching image,which solves several low-dimensional Poisson equations based on gradient domain to achieve seamless image.This piecewise processing strategy,on the one hand,greatly reduces the requirements for computer memory and computing performance,which provides a new way for ordinary computers to process large-width image composition,and also supports parallel processing to improve the efficiency of image seamless composition.The algorithm guarantees piecewise continuous of the whole composed image,effectively eliminates seams,and is suitable for ultra-wide image stitching problems such as ultra-high resolution or aerial photography.
作者
王晓明
朱一心
WANG Xiao-ming;ZHU Yi-xin(School of Science,Shandong Jiaotong University,Ji'nan 250357,China;School of Mathematical Science,Capital Normal University,Beijing 100048,China)
出处
《数学的实践与认识》
2023年第3期220-228,共9页
Mathematics in Practice and Theory
关键词
图像拼接
无缝融合
分片
泊松方程
四叉树
image stitching
image seamless composition
piecewise
poisson equation
quadtree
