Image Zooming Based on Residuals

摘要：

　　To improve the spatial resolution of image, many methods such as example-based and interpolation are presented nowadays.However, the smoothness of edges and the preserving of texture details in the zoomed image are still need to be improved to obtain better performance.Based on the residual correction and compensation idea, we propose a novel algorithm on image zooming, which refines the reconstructed residual using the Steer Kernel Regression and nonlocal filtering.Experimental results show that the proposed algorithm can not only well preserve the texture details but also enables the reconstructed image to achieve better visual effect and resolution.

关键词： zoom Steer Kernel Regression nonlocal reconstructed residual

作者: Songze Tang Liang Xiao

作者单位: School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094, Jiangsu, China

会议类型: 国际会议

会议名称: 第八届图像图形技术与应用学术会议(8th Conference on Image and Graphics Technologies and Applications)(IGTA2013)

会议地点: 北京

会议语种:英文

页码: 307-314

在线出版日期: 2013-04-02（万方平台首次上网日期，不代表论文的发表时间）