Seam Searching-Based Pixel Fusion for Image Retargeting

摘要

This paper presents a new image retargeting method based on seam searching and pixel fusion. First, the importance map of the original image, which is represented by the saliency of every pixel, is generated. Second, all the pixels in the original image are divided into (width of the original image) groups with the help of seam searching. Then, it performs inter-row coherence filtering on importance map to maintain the spatial coherence, and directly utilizes the filtered importance map to generate the scaling map. Finally, after pixel fusion with the scaling map, the image can be retargeted effectively. Experimental results show that our method is able to provide visually pleasing resized images.