LSR Based Astronomical Image Denoising via Adaptive Dictionary Learning

摘要：

　　Motivated by local coordinate coding (LCC) theory in nonlinear manifold learning,we proposed a new image representation model called local sparse representation (LSR) for astronomical image denoising.Meanwhile,a fast approximated LSR method by first performing a K-nearest-neighbor search and then solving a (e)1 optimization problem is presented under the guarantee of denoising performance.In addition,we incorporate the LSR model and adaptive dictionary learning into a unified optimization framework,explicitly establish the inner connection of them.Such processing allows us to simultaneously update sparse coding vectors and the dictionary by alternating-optimization method.Our experimental results have shown convincing improvements on astronomical image denoising.

关键词： Astronomical Image Denoising Local Sparse Representation Dictionary Learning Alternating Optimization

作者: YANG Afeng LU Min TENG Shuhua SUN Jixiang

作者单位: School of Electronic Science and Engineering National University of Defense Technology Changsha, Hunan, China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）