A Regularization LR-Algorithm for Restoring Images on Gaussian Noises Model

摘要：

Standard Lucy-Richardson (LR) image restoration algorithms are used to restore high SNR degraded images and achieve good results. The algorithms are very sensitive to noises and use the assumption—noises observe the Possion distribution. However,there are always Gaussian noises in natural images. In this paper,we propose the regularization LR-algorithm based on the Gaussian noises model. Our algorithm involves two regularization restriction methods. One gives restriction to the residual signal of the restored image. The other gives restriction to the sparse gratitude of the restored image,which is different with the conventional gratitude restriction. They can efficiently suppress the amplification of noises and preserve the details of images. Finally,we show the advancement of our algorithm using some experiment data.

关键词： image restoration Lucy-Richardson algorithm sparse gratitude distribution Gaussian distribution regularization

作者: Weihao Liu Xuan Cai Lin Mei

作者单位: The Third Research Institute of Ministry of Public Security,Shanghai,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2640-2646

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）