Saliency-Based Content-Aware Image Mosaics

Dongyan Guo, Jinhui Tang, Jundi Ding, Chunxia Zhao

Abstract: In this paper, we propose a novel content-aware image mosaic approach based on image saliency. The image saliency is used in the whole process of creating an image mosaic with variable size tiles, while a novel energy map is proposed by combining Neighborhood Inhomogeneity Factor and Graph-Based Visual Saliency. The target image is divided into small tiles with variable sizes based on the energy map. Image retrieval is introduced to choose the tile images from a certain database. Considering the specialization of tile image retrieval, we propose a new feature representation called brightness distribution vector, which indicates the image global brightness distribution. Extensive experiments are conducted to show that the proposed approach creates better mosaics in visual aspect than the conventional methods.