Name
Abstract | ||
|---|---|---|
This paper proposes an adaptive de-nosing filter (ADF) algorithm to effectively remove the image defects for the CMOS image sensor testing applications. Based on the median filter technique, the proposed ADF algorithm develops a pre-processing method to generate adaptive detection windows for pixel defect de-noising of an image. Experimental results and comparisons show that the proposed ADF algorithm can provide a significant ability of defects de-noising for supporting good performance in peak signal-to-noise ratio (PSNR) and image quality. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/DFT.2010.23 | DFT |
Keywords | Field | DocType |
median filters,psnr,image quality,sensor testing applications,cmos image sensor testing,image defect,cmos image sensors,median filter technique,adaptive detection windows,adaptive de-nosing filter,image denoising,proposed adf algorithm,adaptive filters,good performance,adaptive de-nosing filter algorithm,pixel defect de-noising,peak signal-to-noise ratio,adaptive de-noising filter algorithm,cmos image sensor,cmos image,algorithm design and analysis,noise reduction,peak signal to noise ratio,pixel,noise,median filter | Peak signal-to-noise ratio,Median filter,Computer science,Image quality,Electronic engineering,Artificial intelligence,Adaptive filter,Computer vision,Algorithm design,Image sensor,Pattern recognition,Pixel,Kernel adaptive filter | Conference |
ISSN | ISBN | Citations |
1550-5774 | 978-1-4244-8447-8 | 1 |
PageRank | References | Authors |
0.37 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun-Lung Hsu | 1 | 59 | 14.53 |
| Chen-Wei Lan | 2 | 1 | 0.37 |
| Yu-Chih Lo | 3 | 1 | 0.37 |
| Yu-Sheng Huang | 4 | 1 | 0.37 |