L-R Restoration Method of Millimeter Wave Image Based on NNSC Shrinkage Technique

摘要：

In the restoration methods of millimeter wave (MMW) images, Lucy-Richardson (L-R) is a simple and efficient nonlinear method, hut it cant obtain better restoration result when an image is contaminated by large noise. Non-negative sparse coding shrinkage (NNSCS) technique is a self-adaptive sparse representation method and is flexible in describing data, as well as it can reduce noise efficiently without losing features of images. Considering the advantages of L-R algorithm and NNSCS mthod, a new image restoration method of MMW is proposed in this paper. At first, the NNSC feature bases are learned by using some clear natural images, then the noise in MMW is reduced by using the NNSCS function, and last, the restoration image can be obtained by using L-R algorithm to denoised MMW image. This modified image restoration reduces hardly the noise effect on L-R method, and improves hardly the property of L-R algorithm. Simulation experimental results show that our method proposed here is feasible and efficient in restoring image with low resolution.

关键词： Millimeter wave image NNSC shrinkage L-R image restoration

作者: Li Shang Pin-gang Su Ji-xiangDu

作者单位: Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou 215104 China Department of Computer Science and Technology, Huaqiao University Quanzhou 362021 China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 805-808

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）