Comparison of the PDE-based regularization methods and a unifying framework

被引：0

作者：

Su, Bochao ^{[1
]}

Zhang, Xiaohua ^{[2
]}

Liu, Wanyu ^{[1
]}

Li, Li ^{[3
]}

机构：

[1] Harbin Inst Technol, HIT INSA Sino French Res Ctr Biomed Imaging, Harbin 150006, Peoples R China

[2] Dalian Univ Technol, Sch Elect Engn, Dalian, Peoples R China

[3] Harbin Inst Technol, Dept Math, Harbin 150006, Peoples R China

来源：

2014 FOURTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2014年

关键词：

PDE; regularization; image processing; diffusion tensor;

D O I：

10.1109/IMCCC.2014.114

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The frequent problems in computer vision consist of de-noising, artifact elimination as well as structure preserving or enhancing. PDE-based nonlinear diffusion filter may be one possibility to achieve those goals. In this paper, we perform comparison of three typical PDE-based regularization algorithms followed by the proposal of a general framework, which exploits fundamental significance for analyzing PDE-based regularization methods.

引用

页码：527 / 532

页数：6

共 15 条

[1] Adaptive structure tensors and their applications [J].

Brox, T ;

van den Boomgaard, R ;

Lauze, F ;

van de Weijer, J ;

Weickert, J ;

Mrázek, P ;

Kornprobst, P .

VISUALIZATION AND PROCESSING OF TENSOR FIELDS, 2006, :17-+

[2] A generic approach to diffusion filtering of matrix-fields [J].

Burgeth, B. ;

Didas, S. ;

Florack, L. ;

Weickert, J. .

COMPUTING, 2007, 81 (2-3) :179-197

[3]

Chefd'hotel C, 2002, LECT NOTES COMPUT SC, V2350, P251

[4] Edge-preserving color image denoising through tensor voting [J].

Moreno, Rodrigo ;

Angel Garcia, Miguel ;

Puig, Domenec ;

Julia, Carrne .

COMPUTER VISION AND IMAGE UNDERSTANDING, 2011, 115 (11) :1536-1551

[5] SCALE-SPACE AND EDGE-DETECTION USING ANISOTROPIC DIFFUSION [J].

PERONA, P ;

MALIK, J .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1990, 12 (07) :629-639

[6]

Schultz T, 2006, LECT NOTES COMPUT SC, V4291, P455

[7]

Surya Prasath V. B., 2013, COMPUTER VISION PATT

[8] Vector-valued image regularization with PDEs:: A common framework for different applications [J].

Tschumperlé, D ;

Deriche, R .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005, 27 (04) :506-517

[9]

TSCHUMPERLE D, 2009, ICIP 2009 16 IEEE IN, P2957

[10]

Tschumperlé D, 2006, LECT NOTES COMPUT SC, V3952, P295

← 1 2 →