农机化研究Issue(2)：12-16,21,6.
基于压缩感知的图像降噪处理研究
Image Denoising Method Based on Compressed Sensing Theory
摘要
Abstract
In the Agricultural images obtained by the dynamic acquisition, there exist many defects such as bonding, su-perposition and the background interference.In addition, the image obtained from the sparse sampling of the peanut is not complete.All above problems can be solved by the compressed sensing theory.First, compressed sensing theory have a sparse expression for the capture picture, and then select the best wavelet basis for peanuts image, the use of convex optimization theory and algorithms can get the feature points ( noise points) of peanut image.Finally, the image noise can be removed completely .Experiments show that the compressed sensing theory in the process of peanut image denoising possesses many excellent properties such as high efficiency, better denoising result and other advantages com-pared with the traditional methods of image denoising.关键词
花生/压缩感知/降噪/重构算法Key words
peanut/compressed sensing/noise reduction/reconstruction algorithm分类
农业科技引用本文复制引用
于海宁,江景涛,尚书旗..基于压缩感知的图像降噪处理研究[J].农机化研究,2016,(2):12-16,21,6.基金项目
国家公益性行业（农业）科研专项 （）
