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Content Provider | IET Digital Library |
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Author | Touil, Lamjed Gassoumi, Ismail Laajimi, Radhouane Ouni, Bouraoui |
Abstract | Here, the authors present a hardware design of fast multiplierless forward binary discrete cosine transform (BinDCT) based on quantum-dot cellular automata (QCA) technology. This new technology offers several features such as: small size, ultralow power consumption, and can operate at 1 THz. The simulation results in QCA Designer software confirm that the proposed circuit works well and can be used as a high-performance design in QCA technology. The analysis obtained from the implementation of QCA BinDCT indicates that the proposed architecture is superior to the existing based on classic metal-oxide (complementary metal-oxide semiconductor technology) technology. Here, the authors are going to introduce highly BinDCT module scaled with ultra-low power consuming. The proposed circuit requires 50% fewer power consuming compared to previous existing designs. The proposed architecture can attain a throughput of 800 mega pixel per second (Mpps). To design and verify the proposed architecture, QCADesigner tool and QCAPro tool are, respectively, employed for synthesis and power consumption estimation. Since the works in the field of QCA logic image processing have only started to bloom, the proposed contribution will engender a new thread of research in the field of real-time image and video treatment. |
Starting Page | 1020 |
Ending Page | 1030 |
Page Count | 11 |
ISSN | 17519659 |
Volume Number | 12 |
e-ISSN | 17519667 |
Issue Number | Issue 6, Jun (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/6 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1116 |
Journal | IET Image Processing |
Publisher Date | 2018-01-23 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Automata Theory BinDCT Cellular Automata Computer Vision And Image Processing Technique Discrete Cosine Transform Image Processing Integral Transforms Multiplierless Forward Binary Discrete Cosine Transform Optical, Image And Video Signal Processing QCA Logic Image Processing QCA Technology QCADesigner Tool QCAPro Tool Quantum-dot Cellular Automata Technology |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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