Applications and Analyses on Post Processing in Image Matting

YAO Gui-lin; LIU Shao-hui; LI Min; YAO Hong-xun; HU Wen

doi:10.3969/j.issn.0372-2112.2017.03.032

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Applications and Analyses on Post Processing in Image Matting

更新时间：2025-07-16

- Applications and Analyses on Post Processing in Image Matting
- Acta Electronica Sinica Vol. 45, Issue 3, Pages: 719-729(2017)
- 作者机构：
  
  1. 哈尔滨商业大学计算机与信息工程学院,黑龙江,哈尔滨,150028
  2. 哈尔滨工业大学计算机科学与技术学院,黑龙江,哈尔滨,150001
  3. 哈尔滨商业大学计算机与信息工程学院,黑龙江,哈尔滨,150028
  4. 哈尔滨工业大学计算机科学与技术学院,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
  
  Program supported by National Key Basic Research Development Plan (No.2015CB351804);National Natural Science Foundation of China (No.61472103);Key Program of National Natural Science Foundation of China (No.61133003);Doctoral Science Research Program of Harbin University of Commerce (No.15KJ06).
- DOI：10.3969/j.issn.0372-2112.2017.03.032
  CLC： TP391.41
- Published：2017
- 稿件说明：
移动端阅览
YAO Gui-lin, LIU Shao-hui, LI Min, et al. Applications and Analyses on Post Processing in Image Matting[J]. Acta Electronica Sinica, 2017, 45(3): 719-729.
DOI：

YAO Gui-lin, LIU Shao-hui, LI Min, et al. Applications and Analyses on Post Processing in Image Matting[J]. Acta Electronica Sinica, 2017, 45(3): 719-729. DOI： 10.3969/j.issn.0372-2112.2017.03.032.

摘要

数字抠像是将一幅图像中的前景物体与背景进行分离的问题，它的关键在于Alpha通道的计算.以往通过采样方法求得的Alpha中，由于采用逐点计算的离散化方式，求解出的Alpha通常不连续，并且包含很多噪声，因而需要对Alpha进行后处理，这不仅会增强Alpha在视觉上的平滑性，而且能够进一步提高Alpha的精确度.在目前国际上，有关数字抠像后处理领域已经进行了许多研究，但缺少相关的综述性文献，并且对后处理后的Alpha如何进行定量的评价也仍未系统解决.本文首先将数字抠像中的后处理方法分为2类：与仿射类方法相结合的方式及自平滑方式，其次，对两类方法进行了全面的总结和梳理，并对方法的优缺点进行了分析，对将来研究方向提出了建议，最后，针对后处理后的Alpha结果进行了全面的量化比较，弥补了传统方法基本上仅在视觉层面上进行比较的缺陷.

Abstract

Image matting is a process which separates the foreground object from the background scene

and the key of matting is to compute the alpha matte.The existing sampling based matting methods are always in a discretized strategy

which could results in a great deal of discontinuities and noises in final alpha mattes.Post processing is thus introduced to enhance the smoothness and to further increase the accuracy of the final matte.However

the corresponding review articles are still lacking in the field of international research of post-processing in image matting.Moreover

the quantitative evaluation of alpha mattes still remains unsolved.This paper firstly classifies the post-processing step into two basic categories: affinity-combined and self-smoothing.Next

the advantages and disadvantages are both summarized and analyzed.Finally

the alpha mattes after post-processing are evaluated in quantitative manner comprehensively

which improves the problem of pure visual evaluation in traditional methods.

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