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Discernible image mosaic with edge-aware adaptive tiles
Computational Visual Media ( IF 17.3 ) Pub Date : 2019-04-08 , DOI: 10.1007/s41095-019-0130-7
Pengfei Xu , Jianqiang Ding , Hao Zhang , Hui Huang

We present a novel method to produce discernible image mosaics, with relatively large image tiles replaced by images drawn from a database, to resemble a target image. Compared to existing works on image mosaics, the novelty of our method is two-fold. Firstly, believing that the presence of visual edges in the final image mosaic strongly supports image perception, we develop an edge-aware photo retrieval scheme which emphasizes the preservation of visual edges in the target image. Secondly, unlike most previous works which apply a pre-determined partition to an input image, our image mosaics are composed of adaptive tiles, whose sizes are determined based on the available images in the database and the objective of maximizing resemblance to the target image. We show discernible image mosaics obtained by our method, using image collections of only moderate size. To evaluate our method, we conducted a user study to validate that the image mosaics generated present both globally and locally appropriate visual impressions to the human observers. Visual comparisons with existing techniques demonstrate the superiority of our method in terms of mosaic quality and perceptibility.

中文翻译:

具有边缘感知自适应图块的可分辨图像马赛克

我们提出了一种新颖的方法来产生可分辨的图像镶嵌图,其中较大的图块被替换为从数据库绘制的图像,从而类似于目标图像。与现有的图像镶嵌作品相比,我们方法的新颖性是双重的。首先,我们相信最终图像镶嵌图中视觉边缘的存在强烈支持了图像感知,因此我们开发了一种边缘感知的照片检索方案,该方案强调了目标图像中视觉边缘的保留。其次,与以往大多数将预定分区应用于输入图像的作品不同,我们的图像镶嵌由自适应磁贴,其大小是根据数据库中的可用图像以及最大化与目标图像的相似度来确定的。我们使用仅中等大小的图像集显示通过我们的方法获得的可分辨图像马赛克。为了评估我们的方法,我们进行了一项用户研究,以验证所生成的图像镶嵌图是否能为观察者呈现全局性和局部性的视觉印象。与现有技术的视觉比较证明了我们的方法在镶嵌质量和可感知性方面的优越性。
更新日期:2019-04-08
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