计算机工程

• 图形图像处理 • 上一篇    下一篇

光学图层分解方法综述

曹芙蓉,吴鑫   

  1. (西安电子科技大学 物理与光电工程学院,西安 710071)
  • 收稿日期:2016-08-15 出版日期:2017-10-15 发布日期:2017-10-15
  • 作者简介:曹芙蓉(1993—),女,硕士,主研方向为图像仿真与处理;吴鑫(通信作者),讲师、博士。
  • 基金项目:
    中国博士后科学基金(30101166281);中央高校基本科研业务费专项资金(20101166281,20103166281)。

Review of Optical Layers Decomposition Method

CAO Furong,WU Xin   

  1. (School of Physics and Optoelectronic Engineering,Xidian University,Xi’an 710071,China)
  • Received:2016-08-15 Online:2017-10-15 Published:2017-10-15

摘要: 光学图层分解能够为物体识别提供有用信息,是图像内容理解和分析的基础。按照输入信息的不同可以将光学图层分解方法分为基于单幅图像和基于图集2类。对典型的光学图层分解方法进行论述和分析,包括交互式图层先验法、相对光滑度分解法、多重反射信息法、交互层叠法、反射变换法和稀疏性运动盲源法,阐述这些方法的原理和特点。结合软件测试平台验证和分析上述光学图层分解方法的优缺点及适用范围,并对光学图层分解方法的时效性、完备性和实用性进行展望。

关键词: 图层分解, 病态问题, 稀疏性, 图层先验, 成像模型

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.

Key words: layer decomposition, ill-posed problem, sparsity, image prior, imaging model

中图分类号: