文章基本信息

标题：An High Equipped Image Reconstruction Approach Based On Novel Bregman SR Algorithm Using Morphologic Regularization Technique
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作者：Billa Manasa,(Pg Scholor) ; S. Vaishali M.Tech
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：12
页码：9455-9461
出版社：IJECS
摘要：“Feature extraction” from digital images is an area of concern from few decades and Multiscalemorphological operators is considered as successful approach for image processing and feature extractionapplications. Although morphological operators is successful in solving the feature extraction but it too hassome drawbacks. In this paper we model a non linear regularization method based on multi scalemorphology for edge preserving super resolution (SR) image reconstruction. We formulate SRreconstruction problem from low resolution (LR) image as a deblurring and denoising and then solve theinverse problem using Bregman iterations. The proposed Method can be reduce inherent noise generatedduring low-resolution image formation as well as during SR image estimation efficiently. In our Simulationresults show the effectiveness of the proposed method and reconstruction method for SR image