Name
Title | ||
|---|---|---|
A Low-Cost Hardware Architecture for Illumination Adjustment in Real-Time Applications |
Abstract | ||
|---|---|---|
For real-time surveillance and safety applications in intelligent transportation systems, high-speed processing for image enhancement is necessary and must be considered. In this paper, we propose a fast and efficient illumination adjustment algorithm that is suitable for low-cost very large scale integration implementation. Experimental results show that the proposed method requires the least number of operations and achieves comparable visual quality as compared with previous techniques. To further meet the requirement of real-time image/video applications, the 16-stage pipelined hardware architecture of our method is implemented as an intellectual property core. Our design yields a processing rate of about 200 MHz by using TSMC 0.13-μm technology. Since it can process one pixel per clock cycle, for an image with a resolution of QSXGA (2560 × 2048) , it requires about 27 ms to process one frame that is suitable for real-time applications. In some low-cost intelligent imaging systems, the processing rate can be slowed down, and our hardware core can run at very low power consumption. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TITS.2014.2347701 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
video signal processing,road safety,image resolution,real-time surveillance,real-time safety applications,real-time image applications,low-cost hardware architecture,low-cost very large scale integration implementation,real-time video applications,16-stage pipelined hardware architecture,intellectual property core,tsmc 0.13-μm technology,illumination adjustment algorithm,illumination adjustment,real-time applications,vlsi,computer architecture,image enhancement,low-cost intelligent imaging systems,intelligent transportation systems,hardware architecture,visual quality,real time systems,real time applications,algorithms,methodology,hardware,lighting,image processing,visualization,real time information | Computer vision,Real-time data,Visualization,Computer science,Image processing,Real-time computing,Artificial intelligence,Pixel,Intelligent transportation system,Cycles per instruction,Very-large-scale integration,Hardware architecture | Journal |
Volume | Issue | ISSN |
16 | 2 | 1524-9050 |
Citations | PageRank | References |
0 | 0.34 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yeu-Horng Shiau | 1 | 105 | 10.77 |
| Pei-Yin Chen | 2 | 314 | 38.47 |
| Hung-Yu Yang | 3 | 36 | 4.37 |
| Shang-Yuan Li | 4 | 3 | 1.40 |