Dependent Component Analysis for Multi-frame Image Restoration and Enhancement

摘要：

Independent component analysis (ICA) has been applied to the restoration of image sequences degraded by atmospheric turbulence.The original high-resolution image and turbulent sources were considered as independent sources from which the degraded image is composed of.Although the result was promising,the assumption of source independence may not be true in practice.In this paper,we propose to apply dependent component analysis (DCA),which can relax the independence assumption.The experimental result demonstrates DCA outperforms ICA under this circumstance,resulting in the flexibility in the use of adjacent image frames.In addition,the restored image can be further enhanced by employing a recently developed Gabor-filter-bank-based single-frame blind image deconvolution algorithm where DCA is also employed.

作者: Qian Du Ivica Kopriva

作者单位: Department of Electrical and Computer Engineering Mississippi State University,USA Division of Laser and Atomic Research and Development Rudjer Bo(s)ovi Institute,Zagreb,Republic of

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）