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A panoramic image mosaics algorithm based on wavelet decomposition and equidistant matching

机译:基于小波分解和等距匹配的全景图像马赛克算法

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A panoramic image mosaics algorithm based on wavelet decomposition and equidistant matching is proposed in this paper. Firstly, theumages are decomposed with wavelet, and then the similarity distance between the corresponding pixels is defined. Secondly, according to the criterion of minimizing the sum of similarity distance, the equidistant matching is used at the every level of the wavelet pyramid to align all the images. Finally, all the aligned images are projected onto a plane or cylinder to construct a panoramic image. To further improve the image mosaics quality, a fade in-out blending approach is also employed in this paper. The algorithm is fairly stable and efficient for the use of the edges values and pyramid structure of wavelet decomposition respectively.
机译:本文提出了一种基于小波分解和等距匹配的全景图像马赛克算法。首先,用小波分解射门,然后定义相应像素之间的相似距离。其次,根据最小化相似度距离和的标准,在小波金字塔的每个级别中使用等距匹配来对齐所有图像。最后,将所有对齐的图像投影到平面或圆柱体上以构建全景图像。为了进一步改善图像马赛克质量,本文还采用了淡出的出口混合方法。该算法分别对使用边缘值和小波分解的金字塔结构相当稳定且有效。

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