现代电子技术2017，Vol.40Issue(10)：107-110,4.DOI:10.16652/j.issn.1004-373x.2017.10.029
基于扩散的自适应超分辨率重建
Adaptive supper-resolution reconstruction based on diffusion
摘要
Abstract
The disadvantages of P-M model,L1 norm(TV model)and L2 norm(harmonic model)are analyzed in the as-pect of anisotropy. The partial differential equation for super-resolution reconstruction is established with diffusion model. A model combining the nonlinear anisotropy and super-resolution reconstruction is proposed. The model has the characteristics of linear isotropic diffusion in the flat area of the image,which can eliminate the noise effectively,and has nonlinear anisotropic diffu-sion preserving edge in the edge area of the image,which can effectively reduce the staircase effect produced by filtering and avoid the phenomenon that the details of P-M model is neglected due to transition smooth. The simulation results show that the model can improve the image reconstruction quality effectively,eliminate the noise while remaining the edge,and has good ro-bustness.关键词
P-M模型/L1范式/各向同性/各向异性/超分辨率重建Key words
P-M model/L1 norm/isotropy/anisotropy/super-resolution reconstruction分类
信息技术与安全科学引用本文复制引用
付龙,吕晓琪,李婷,谷宇..基于扩散的自适应超分辨率重建[J].现代电子技术,2017,40(10):107-110,4.基金项目
国家自然科学基金资助项目(61179019) （61179019）
内蒙古自治区自然科学基金(2015MS0604) （2015MS0604）
内蒙古自治区高等学校科学研究项目资助(NJZY145) （NJZY145）
包头市科技创新体系建设项目(2015C2006-14) （2015C2006-14）
