The Application of Laplacian Pyramid in Image Super-Resolution Reconstruction

摘要：

Image super-resolution reconstruction is a process that obtaining high resolution images from lowresolution degraded images. In frequency domain, it is a process to obtain the detail. The Laplacian pyramid model is proposed to simulate the degraded course, and the approximation signal of the Laplacian pyramid decomposition is considered to be the degraded image, so the process of super-resolution reconstruction is the process of Laplacian pyramid reconstruction without the detail image. Since the degraded course is very complex, the analysis just discusses the degraded images caused by the high frequencies components are attenuated by the averaging process in the digital image acquisition process. Experimental results show the proposed approach can effectively improve the image quality both objectively (PSNR) and subjectively.

关键词： super-resolution reconstruction Laplacian pyramid decomposition degraded image component

作者: Li xingmei Chen Liang Wang Jin

作者单位: Department of Electronic Information & Mechanics China University of Geosciences Wuhan China Department of information and engineering China University of Geosciences Wuhan China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1838-1840

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）