Name
Abstract | ||
|---|---|---|
This paper describes a new approach for noise reduction of video sequences that directly processes raw data frames acquired by an image sensor. The proposed noise reduction filter operates on Bayer matrixed video sequences instead of the canonical YUV format allowing saving of resources in terms of time and space; this is particularly relevant for real time processing. Noise level is constantly monitored in order to change the filter strength adaptively. Experiments show the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICME.2002.1035873 | Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference |
Keywords | Field | DocType |
adaptive filters,image denoising,image sequences,motion compensation,real-time systems,spatial filters,video signal processing,Bayer matrixed video,adaptive filter strength,direct video processing,image sensor,noise level monitoring,noise reduction filter,raw data frames,real time processing,temporal noise reduction,video sequences | Noise reduction,Computer vision,Digital filter,Colors of noise,Image sensor,Computer science,Noise level,Motion compensation,Image denoising,Artificial intelligence,Adaptive filter | Conference |
Volume | Citations | PageRank |
1 | 10 | 1.26 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Bosco | 1 | 50 | 5.22 |
| Massimo Mancuso | 2 | 248 | 17.22 |
| Sebastiano Battiato | 3 | 374 | 41.37 |
| Giuseppe Spampinato | 4 | 21 | 4.93 |