QCA implementation of a multichannel filter for image processing

被引：17
|
作者：
Cardenas-Barrera, JL [1 ]
Platoniotis, KN
Venetsanopoulos, AN
机构：
[1] Univ Cent Marta Abreu Las Villas, Ctr Studies Elect & Informat Technol, Santa Clara, Cuba
[2] Univ Toronto, Mulimedia Lab, Toronto, ON M5S 3G4, Canada
[3] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2002年 / 8卷 / 01期
关键词：
image processing; quantum-dot cellular automata; color imaging; median filters;
D O I：
10.1080/10241230211381
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A novel way to implement a color image filter is introduced here. The quantum-dot cellular automata (QCA) framework is adopted due to its adequacy to implement highly parallel systems. The principle behind the new design is explained in detail, and simulation results are included to demonstrate the effectiveness of the proposed method.
引用
下载
收藏
页码：87 / 99
页数：13
相关论文
共 50 条
  • [1] Adaptive multichannel filter for image processing
    Ng, BK
    Plataniotis, KN
    Venetsanopoulos, AN
    1997 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, CONFERENCE PROCEEDINGS, VOLS I AND II: ENGINEERING INNOVATION: VOYAGE OF DISCOVERY, 1997, : 696 - 699
  • [2] An adaptive multichannel filter for colour image processing
    Plataniotis, KN
    Androutsos, D
    Venetsanopoulos, AN
    CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING-REVUE CANADIENNE DE GENIE ELECTRIQUE ET INFORMATIQUE, 1996, 21 (04): : 149 - 152
  • [3] Adaptive multichannel filter for colour image processing
    Univ of Toronto, Toronto, Canada
    Can J Electr Comput Eng, 4 (149-152):
  • [4] Adaptive digital filter implementation for image processing
    Ponomaryov, VI
    Pogrebniak, AB
    Velasco, VM
    DSP 97: 1997 13TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2: SPECIAL SESSIONS, 1997, : 1019 - 1022
  • [5] Adaptive Wiener filter implementation for image processing
    Ponomarev, VI
    Pogrebniak, AB
    MMET'96 - VITH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ELECTROMAGNETIC THEORY, PROCEEDINGS, 1996, : 211 - 214
  • [6] A neural network implementation of the SMSE filter for image processing
    Wong, EPK
    Guan, L
    Perry, SW
    REAL-TIME IMAGING, 1996, 2661 : 77 - 85
  • [7] A Hardware Implementation of a Brain Inspired Filter for Image Processing
    Luciano, P.
    Sotiropoulou, C. -L.
    Gkaitatzis, S.
    Viti, M.
    Citraro, S.
    Retico, A.
    Giannetti, P.
    Dell'Orso, M.
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2017, 64 (06) : 1374 - 1381
  • [8] MULTICHANNEL GUIDED IMAGE FILTER
    Liu, Chang
    Wu, Xiaolin
    Shu, Xiao
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 255 - 259
  • [9] Comparison of component and vector filter performance with application to multichannel and color image processing
    Kurekin, A
    Lukin, V
    Zelensky, A
    Koivisto, P
    Astola, J
    Saarinen, K
    PROCEEDINGS OF THE IEEE-EURASIP WORKSHOP ON NONLINEAR SIGNAL AND IMAGE PROCESSING (NSIP'99), 1999, : 38 - 42
  • [10] Optimized Algorithms and Hardware Implementation of Median Filter for Image Processing
    Draz, H. H.
    Elashker, N. E.
    Mahmoud, Mervat M. A.
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, 42 (09) : 5545 - 5558
12345