Name
Abstract | ||
|---|---|---|
High-quality digital video filtering applications pose interesting challenges. Noise reduction cannot come at the expense of losing picture detail or introducing post-filtering artifacts. We address these issues by proposing an adaptive spatio-temporal method for reducing noise in digital video. The novelty of this method is that it aims to achieve an "even" amount of noise reduction at each pixel while preserving picture detail. The emphasis on even noise reduction helps reduce post-filtering artifacts arising from uneven filtering. We further propose an algorithm for automatically estimating the key filtering parameters, given two intuitive high-level inputs, filtering strength and a tolerance value. The high-level inputs provide user-friendly "knobs" that could be adjusted to obtain the desired filtering performance. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366019 | 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS |
Keywords | Field | DocType |
digital video filtering, spatio-temporal filtering, film grain removal | Noise reduction,Computer vision,High-definition video,Median filter,Pattern recognition,Noise (video),Computer science,Filter (signal processing),Pixel,Adaptive filter,Artificial intelligence,Data compression | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.36 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sitaram Bhagavathy | 1 | 114 | 9.82 |
| Joan Llach | 2 | 99 | 10.01 |