A New Image Denoising in Shiftable Complex Directional Pyramid Domain

摘要：

In this paper,we describe a method for removing noise from digital images,based on bilateral filter and Gaussian scale mixtures (GSM) in shiftable complex directional pyramid (PDTDFB) domain.Firstly,the noisy image is decomposed into different subbands of frequency and orientation responses using a PDTDFB transform.Secondly,the bilateral filter,which is a nonlinear filter that does spatial averaging without smoothing edges,is applied on the approximation subband.Finally,the distribution of detail subbands of PDTDFB coefficients is modeled with GSM,and the statistical model is then used to obtain the denoised detail coefficients from the noisy image decomposition by Bayes least squares estimator.Extensive experimental results demonstrate that our method can obtain better performances in terms of both subjective and objective evaluations than those state-of-the-art denoising techniques.Especially,the proposed method can preserve edges very well while removing noise.

关键词： Image denoising shiftable complex directional pyramid bilateral filter Gaussian scale mixtures Bayes least squares estimator

作者: Xiang-Yang Wang Tian-Xiang Qu

作者单位: School of Computer and Information Technology Liaoning Normal University Dalian,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 88-92

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）