Accumulative energy-based seam carving for image resizing. (8th May 2020)

• Record Type: Journal Article
• Authors: Lin, Yuqing; Lin, Jiawen; Niu, Yuzhen; Zhang, Haifeng
• Is Part Of: International journal of computational science and engineering. Volume 22:Number 2/3(2020)
• Page Start: 190
• Page End: 199
• Publication Date: 2020-05-08
• Subjects: image resizing -- seam carving -- optimal seam -- accumulative energy -- saliency detection -- edge detection; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

With the diversified development of the digital devices, such as computer, mobile phone and television, how to resize an image or video to adapt to different display screens has been a heated topic. Seam carving does well in image resizing at most times, however, it sometimes produces discontinuity image content or impaired salient objects. Therefore, we propose an accumulative energy-based seam carving method for image resizing. We distribute the energy of each pixel on the seam to its adjacent 8-connected pixels to avoid the extreme concentration of seams. In addition, we add the image saliency and the edge information into the energy function to reduce the distortion. To compute more efficiently, we use parallel computing environment as well. Experimental results show that compared with the existing methods, our method can both avoid the discontinuity of image content and distortions as well as better maintain the shape of the salient objects.