Name
Abstract | ||
|---|---|---|
In this paper, we present a real-time image denoising chip. For each pixel of the image under processing, our design uses a mask on it to determine whether it is likely being corrupted by impulse noise or not. After the noise detection, we reconstruct the noisy pixel by considering the possible edges existed in the mask. Particularly, our design removes the noise from corrupted images efficiently and requires no previous training. Extensive simulations demonstrate that the proposed method achieves excellent performance in quantitative evaluation and visual quality. Furthermore, the computational complexity of the proposed method is low and its memory requirement is small. An efficient VLSI architecture for this scheme is developed and it yields a processing rate of about 150 MHz by using TSMC 0.18mum technology. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISCAS.2008.4542186 | ISCAS |
Keywords | Field | DocType |
frequency 150 mhz,image processing,noise removal,impulse noise,real-time image denoising chip,vlsi architecture,image denoising,computational complexity,size 0.18 mum,vlsi,integrated circuit design,tsmc technology,real-time systems,noise detection,noise reduction,chip,computer architecture,pixel,filtering,image reconstruction,real time systems,very large scale integration,detectors | Noise reduction,Iterative reconstruction,Computer vision,Computer science,Filter (signal processing),Image processing,Chip,Electronic engineering,Impulse noise,Artificial intelligence,Pixel,Very-large-scale integration | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4244-1684-4 | 3 |
PageRank | References | Authors |
0.46 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei-Yin Chen | 1 | 314 | 38.47 |
| Chih-Yuan Lien | 2 | 91 | 9.64 |
| Yi-Ming Lin | 3 | 46 | 3.87 |