Video super-resolution reconstruction using a mobile search strategy and adaptive patch size

被引：18
作者：
Cheng, Ming-Hui [1 ]
Chen, Hsuan-Ying [1 ]
Leou, Jin-Jang [1 ]
机构：
[1] Natl Chung Cheng Univ, Dept Comp Sci & Informat Engn, Chiayi 621, Taiwan
来源：
SIGNAL PROCESSING | 2011年 / 91卷 / 05期
关键词：
Super-resolution (SR) reconstruction; Fuzzy motion estimation; Mobile search strategy; Adaptive patch size; HIGH-RESOLUTION IMAGE; REGISTRATION; ALGORITHM; FACE;
D O I：
10.1016/j.sigpro.2010.12.016
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this study, a new video super-resolution (SR) reconstruction approach using a mobile search strategy and adaptive patch size is proposed. Based on the modified nonlocal-means (NLM) SR algorithm, a mobile search strategy for motion estimation and adaptive patch size are proposed to reduce the computational complexity of the proposed approach and improve the visual quality of the final video SR reconstruction results, respectively. Based on the experimental results obtained in this study, the performance (visual quality and PSNR values) of the proposed approach is better than those of three comparison approaches. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：1284 / 1297
页数：14
相关论文
共 22 条
[1]  
[Anonymous], 1981, P 7 INT JOINT C ARTI
[2]   Statistical analysis of the LMS algorithm applied to super-resolution image reconstruction [J].
Costa, Guilherme Holsbach ;
Moreira Bermudez, Jose Carlos .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (05) :2084-2095
[3]   Eigenface-domain super-resolution for face recognition [J].
Gunturk, BK ;
Batur, AU ;
Altunbasak, Y ;
Hayes, MH ;
Mersereau, RM .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2003, 12 (05) :597-606
[4]   High-resolution image reconstruction from a sequence of rotated and translated frames and its application to an infrared imaging system [J].
Hardie, RC ;
Barnard, KJ ;
Bognar, JG ;
Armstrong, EE ;
Watson, EA .
OPTICAL ENGINEERING, 1998, 37 (01) :247-260
[5]   Informed choice of the LMS parameters in super-resolution video reconstruction applications [J].
Holsbach Costa, Guilherme ;
Carlos M. Bermudez, Jose .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (02) :555-564
[6]   IMPROVING RESOLUTION BY IMAGE REGISTRATION [J].
IRANI, M ;
PELEG, S .
CVGIP-GRAPHICAL MODELS AND IMAGE PROCESSING, 1991, 53 (03) :231-239
[7]   Super-resolution land cover mapping using a Markov random field based approach [J].
Kasetkasem, T ;
Arora, MK ;
Varshney, PK .
REMOTE SENSING OF ENVIRONMENT, 2005, 96 (3-4) :302-314
[8]   Super-resolution in PET imaging [J].
Kennedy, JA ;
Israel, O ;
Frenkel, A ;
Bar-Shalom, R ;
Azhari, H .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2006, 25 (02) :137-147
[9]   Recursive high-resolution reconstruction of blurred multiframe images [J].
Kim, S. P. ;
Su, Wen-Yu .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1993, 2 (04) :534-539
[10]   RECURSIVE RECONSTRUCTION OF HIGH-RESOLUTION IMAGE FROM NOISY UNDERSAMPLED MULTIFRAMES [J].
KIM, SP ;
BOSE, NK ;
VALENZUELA, HM .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1990, 38 (06) :1013-1027
123