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| Content Provider | IET Digital Library |
|---|---|
| Author | Matsuzaka, Kenji Tanaka, Hideki Ohkubo, Satoru Morie, Takashi |
| Abstract | Efficient pixel-parallel image processing using a pulse-coupled phase oscillator model and its very large scale integration (VLSI) implementation is proposed. A processing unit that corresponds to a pixel of an image transmits spike pulses to other units, and updates its own analogue state value at timing when spikes come from other units. From a VLSI implementation point of view, this mechanism is suitable for very low-power operation because analogue buffers are unnecessary for data transmission. On the basis of this model, a VLSI image processor chip that performs a coupled Markov random field model for image region segmentation is designed and fabricated. A very low-power VLSI design has been achieved by the combination of an analogue oscillator and digital coupling function generator circuits with time-domain computation. The processing performance of the fabricated oscillator-based image processor chip using a 0.25 μm CMOS process has achieved 43.2 GOPS or 656 GOPS/W. Experiments using the fabricated chip have shown successful image region segmentation in one- and two-dimensional images. |
| Starting Page | 46 |
| Ending Page | 48 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 51 |
| e-ISSN | 1350911X |
| Issue Number | Issue 1, Jan (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/51/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2014.2105 |
| Journal | Electronics Letters |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2014-12-08 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | 1D Image 2D Image Analogue Buffers Analogue Oscillator Analogue State Value CMOS Analogue Integrated Circuit CMOS Integrated Circuit CMOS Process Computer Vision And Image Processing Technique Coupled Markov Random Field Model Coupled MRF Model Data Transmission Digital Coupling Function Generator Circuit Efficient Pixel-parallel Image Processing Fabricated Chip Image Pixel Image Region Segmentation Image Segmentation Integrated Circuit Design Layout Low Power Electronics Low-power VLSI Design Markov Processes Modelling And Testing One-dimensional Image Optical, Image And Video Signal Processing Oscillator Oscillator-based Image Processor Chip Processing Unit PU Pulse-coupled Phase Oscillator Model Semiconductor Integrated Circuit Design Size 0.25 Mum Spike Pulses Time Domain Analysis Time-domain Computation Very Large Scale Integration Implementation Very Low-power Operation VLSI VLSI Image Processor Chip VLSI Implementation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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