数据采集与处理2017，Vol.32Issue(1)：157-165,9.DOI:10.16337/j.1004-9037.2017.01.019
双向增强扩散滤波的图像去噪模型
Image De-noising Model based on Bidirectional Enhanced Diffusion Filter
摘要
Abstract
A bidirectional enhanced diffusion filter image de-noising model is presented.The diffusion equation is firstly simplified and analyzed to establish bidirectional diffusion coefficient.Hence,the two-way process of smoothing and sharpening can be achieved by the model in the diffusion process,To further enhance the strength of the smoothing and sharpening,image enhancement is used to enhance the overall outline of the image using wavelet transform,thus weakening texture detail of the image.Then,the threshold will be designed and improved,and it will be automatically controlled by maximum image gray value and iterative times,which can retain the image edge and detail features.The proposed model is be simulated.The experimental result shows that the new model is ideal,and it can improve the performance of de-noising and the protection of edge.The texture detail information is satisfactory.The peak signal to noise ratio is promoted drastically.Therefore,the performance is better than classical algorithms.关键词
双向扩散系数/自适应阈值/图像去噪Key words
bidirectional diffusion coefficient/adaptive threshold/image de-noising分类
信息技术与安全科学引用本文复制引用
汪美玲,周先春,石兰芳..双向增强扩散滤波的图像去噪模型[J].数据采集与处理,2017,32(1):157-165,9.基金项目
国家自然科学基金(11202106,61201444)资助项目 （11202106,61201444）
教育部高等学校博士学科点专项科研基金(20123228120005)资助项目 （20123228120005）
江苏省“信息与通信工程”优势学科建设项目 （）
江苏省自然科学基金(BK20131005)资助项目 （BK20131005）
江苏省青蓝工程和江苏省高校自然科学研究项目(13KJB170016)资助项目. （13KJB170016）
