一种基于小波变换和自适应滤波的图像拼接算法

图像拼接技术其关键在于解决拼接图像配准问题,以及如何针对多幅相关图像,进行无缝接合形成连贯的没有拼接痕迹的图像.本文针对上述问题,提出了一种算法.首先对小波域的图像信息采用灰度相关法进行匹配搜索,使用RANSAC算法对匹配点进行提纯;然后在小波域生成自适应滤波器,并在图像的拼缝处作滤波处理,得到拼接后的小波系数矩阵;对小波系数矩阵进行小波逆变换还原图像.实验结果表明:在小波域对图像进行拼接,而且在接缝处根据两幅图像的自身信息进行自适应滤波(即时改变滤波器形态),故它很好地平滑了拼接中出现的接缝.

Algorithm of Image Splice Based on Adaptive Filtering in Wavelet Domain

Image mosaic in image processing is widely used. However, its key issue is image registration, and clear mosaic from several relevant images with no splicing trace. Therefore,an algorithm is put forward: firstly, gray correlation method is utilized for matching search with image information in wavelet domain, and random sample consensus (RANSAC) algorithm is used to work on match point; Secondly, adaptive filtering is established in the wavelet domain for image flat fell,and the wavelet coefficient matrix is concluded;Finally, wavelet inverse transform on the wavelet coefficient matrix. Experimental results show that the proposed algorithm can finely smooth the seam line on the mosaicking boundary thanks to image mosaic in wavelet domain and adaptive filtering (instant changing filter''s form)according to the adjacent two images'' own information.