A Seamless Image-Stitching Method Based on Human Visual Discrimination and Attention
A Seamless Image-Stitching Method Based on Human Visual Discrimination and Attention
复制标题
一种基于人类视觉辨别和注意力的无缝图像拼接方法
DOI：
10.3390/app10041462
复制
发表时间：
2020-02-01
影响因子：
2.7
通讯作者：
Gao, Yang
中科院分区：
文献类型：
--
作者：
Cao, Qingjie;Shi, Zaifeng;Gao, Yang
拼接马赛克图像中的缝隙和错位会严重降低人类对马赛克效果的视觉感知。图像拼接在消除这些令人不快的缺陷方面起着关键作用。根据对人类视觉系统的研究，提出了一种具有不可见缝隙的马赛克图像拼接方法。通过量化人类对图像的视觉注意力和对亮度差异和细微位错的视觉区分，为拼接区域中的每个像素赋予跟踪缝合线的优先级值。再加上最优缝合线定位方法和多波段混合算法的处理，拼接图像中不连续项的像素点显著减少，且缝合线几乎不可见。这一研究为图像拼接领域提供了新的视角，实验表明，该方法在生成高质量的图像拼接时，其结果更符合人类视觉系统。
Stitching gaps and misalignments in mosaic images can severely degrade the human visual perception of mosaic effects. Image stitching plays a key role in eliminating these unpleasant defects. In this paper, an image-stitching method for mosaic images with invisible seams is proposed, according to the research on the human visual system (HVS). By quantifying the human visual attention of images and visual discrimination about luminance difference and fine dislocations, each pixel in the stitching region is given a priority value for tracing a stitching line. Coupled with the processing of an optimal stitching line locating method and the multi-band blending algorithm, the pixels of discontinuous items in mosaic images decrease significantly and the stitching line is almost invisible. This study provides a new insight into the image-stitching field, and the experiments show that the results of the proposed method are more consistent with the human visual system in creating high-quality image mosaics.