Iterative Regularization Model for Image Denoising Based on Dual Norms
Image denoising algorithm based on gradient dependent energy functional often compromised the image features like textures or certain details.This paper proposes an iterative regularization model based on Dual Norms for image denoising.By using iterative regularization model,the oscillating patterns of texture and detail are added back to fit and compute the original Dual Norms model,and the iterative behavior avoids overfull smoothing while denoising the features of textures and details to a certain extent.In addition,the iterative procedure is proposed in this paper,and the proposed algorithm also be proved the convergence property.Experimental results show that the proposed method can achieve a batter result in preserving not only the features of textures for image denoising but also the details for image.
Image Denoising Dual Norms Iterative Regularization model
Chen Guan-nan Xu Dan-Er Chen Rong Huang Zu-fang Teng Zhong-jian
Key Laboratory of OptoElectronic Science and Technology for Medicine,Ministry of Education,Fujian No Full address of second author,including country College of Humanities and Social Science,Fujian Agri
国际会议
沈阳
英文
1245-1249
2012-09-07（万方平台首次上网日期，不代表论文的发表时间）