计算机工程2017，Vol.43Issue(10)：268-276,9.DOI:10.3969/j.issn.1000-3428.2017.10.045
光学图层分解方法综述
Review of Optical Layers Decomposition Method
摘要
Abstract
Optical Layers Decomposition(OLD) can provide useful information for object recognition,and is the basis of image content understanding and analysis.According to the different input information,the OLD method can be divided into two kinds based on single image and atlas.This paper discusses and analyzes the typical OLD method,such as interactive layer prior method,relative smoothness decomposition method,multiple reflection information method,alternating stack method,reflection transformation method and sparse motion blind source method,explains the principles and characteristics of these methods.The software test platform is used to verify and analyze the advantages and disadvantages as well as the scope of application.The timelines,completeness and practicability of the OLD method are prospected.关键词
图层分解/病态问题/稀疏性/图层先验/成像模型Key words
layer decomposition/ill-posed problem/sparsity/image prior/imaging model分类
信息技术与安全科学引用本文复制引用
曹芙蓉,吴鑫..光学图层分解方法综述[J].计算机工程,2017,43(10):268-276,9.基金项目
中国博士后科学基金(30101166281) （30101166281）
中央高校基本科研业务费专项资金(20101166281,20103166281). （20101166281,20103166281）
