吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 106-109.

• 论文 • 上一篇    下一篇

图像恢复问题中强度保持技术

郭晓新1,2, 许志闻1,2, 车翔玖1,2   

  1. 1. 吉林大学 计算机科学与技术学院, 长春 130012;
    2. 吉林大学 符号计算与知识工程教育部重点实验室, 长春 130012
  • 收稿日期:2012-06-25 发布日期:2013-06-01
  • 作者简介:郭晓新(1974-),男,副教授.研究方向:图像处理,机器视觉,计算机图形学.E-mail:guoxx@jlu.edu.cn
  • 基金资助:

    国家自然科学基金项目(60905022).

Intensity preserving technology in image restoration

GUO Xiao-xin1,2, XU Zhi-wen1,2, CHE Xiang-jiu1,2   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China
  • Received:2012-06-25 Published:2013-06-01

摘要:

提出了荧光造影图像序列的图像恢复方案。将新的强度约束合并到Miller正则化公式中,以获得保持高强度像素的能力。恢复的图像除了受光滑约束的影响之外,也会受到强度约束的影响。恢复过程中,采用从预滤波过程中获得的强度模板实现强度约束,该模板代表一幅由所期望强度值组成的图像。实验表明,该方案在高强度保持和图像恢复两方面都获得了较好的结果。

关键词: 图像恢复, 强度约束, 强度保持, 荧光造影图像

Abstract:

A new approach of image restoration for the sequence of fluorescein angiography was proposed.First,the intensity constraint was incorporated into Miller regularization equation to obtain the ability to preserve the high intensity of pixels.Thus,the restored image would be influenced not only by the smoothness constraints,but also by the intensity constraints.Secondly,in the process of the restoration,we use an intensity template obtained from the pre-filtering procedure was used to achieve the intensity constraints.The template represented an image composed by the desired intensity value.The experiments show that the proposed scheme gains a better result in both high intensity preservation and image restoration.

Key words: image restoration, intensity constraint, intensity preservation, fluorescein angiography

中图分类号: 

  • TP391.41

[1] Biemond J,Lagendijk R L.Regularized iterative image restoration in a weighted hilbert space [C]//ICASSP'86.1986:1485-1488.

[2] Lagendijk R L,Biemond J,Boekee D E.Regularized iterative image restoration with ringing reduction [J].IEEE Transactions on Acoustics,Speech and Signal Processing,1987,36(12):1874-1888.

[3] Singh S,Tandon S N,Gupta H M.An iterative restoration technique [J].Signal Processing,1986,11(1):1-11.

[4] Castleman K R.Digital Image Processing [M].Upper Saddle River,New Jersey:Prentice Hall International,Inc,1998:64-65.

[5] Miller K.Least-squares method for ill-posed problems with a prescribed bound [C]//SIAM J Math Anal.1970:52-74.

[1] 林学东,宋涛,冯先振,程建,刘忠长,王志伟 . 车用柴油机低排放缩口燃烧系统的优化[J]. 吉林大学学报(工学版), 2007, 37(01): 54-59.
[2] 林学东,丛春梅,陈雪梅,张多军,朱二欣. 浅形缩口直喷式柴油机燃烧室结构特点及其对排放特性的影响[J]. 吉林大学学报(工学版), 2005, 35(01): 18-0023.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!