Robust remove noise using multiple degraded images

被引：0

作者：

Department of Mathematics, East China Normal University, Shanghai 200062, China ^{[1
]}

不详 ^{[2
]}

机构：

来源：

Chin J Electron | 2008年 / 2卷 / 305-308期

关键词：

Image quality - Image reconstruction - Mathematical models - Spurious signal noise;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, we propose a model to remove noise or deblurring by multiple degraded images. In the algorithm, we introduce robust L1 norm data fidelity term and bilateral total variation regularization term. Experimental results show that our algorithm is effective.

引用

共 50 条

[31] Robust Unsupervised Segmentation of Degraded Document Images with Topic Models
Burns, Timothy J.
Corso, Jason J.
CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4, 2009, : 1287 - 1294
[32] Robust Document Image Binarization Technique for Degraded Document Images
Su, Bolan
Lu, Shijian
Tan, Chew Lim
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (04) : 1408 - 1417
[33] Adaptive Thresholding to Robust Image Binarization for Degraded Document Images
Ingle, Prashant Devidas
Kaur, Parminder
2017 1ST INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND INFORMATION MANAGEMENT (ICISIM), 2017, : 189 - 193
[34] Robust Math Formula Recognition in Degraded Chinese Document Images
Liu, Ning
Zhang, Dongxiang
Xu, Xing
Guo, Long
Chen, Lijiang
Liu, Wenju
Ke, Dengfeng
2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, 2017, : 113 - 118
[35] A Noise Robust Edge Detector for Color Images using Hilbert Transform
Gupta, Ankush
Ganguly, Ayush
Bhateja, Vikrant
PROCEEDINGS OF THE 2013 3RD IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2013, : 1207 - 1212
[36] RESTORATION OF IMAGES DEGRADED BY ATMOSPHERIC-TURBULENCE AND DETECTION NOISE
SHI, XT
WARD, RK
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1992, 9 (03): : 364 - 370
[37] Visual quality analysis for images degraded by different types of noise
Ponomarenko, Nikolay N.
Lukin, Vladimir V.
Ieremeiev, Oleg I.
Egiazarian, Karen O.
Astola, Jaakko T.
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XI, 2013, 8655
[38] Removal of Gaussian Noise from Degraded Images in Wavelet Domain
Li, Yeqiu
Lu, Jianming
Wang, Ling
Yahagi, Takakshi
ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2008, 91 (01) : 11 - 18
[39] RESTORATION OF COMPUTED TOMOGRAPHIC-IMAGES DEGRADED BY POISSON NOISE
SUZUKI, S
OPTICS COMMUNICATIONS, 1984, 51 (04) : 231 - 235
[40] WIENER FILTERING OF IMAGES DEGRADED BY FILM-GRAIN NOISE
WALKUP, JF
CHOENS, RC
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1973, 63 (04) : 479 - 479

← 1 2 3 4 5 →