Image processing for old movies by filters with motion detection
International Journal of Applied Mathematics and Computer Science (2005)
- Volume: 15, Issue: 4, page 481-491
- ISSN: 1641-876X
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topSkoneczny, Sławomir. "Image processing for old movies by filters with motion detection." International Journal of Applied Mathematics and Computer Science 15.4 (2005): 481-491. <http://eudml.org/doc/207760>.
@article{Skoneczny2005,
abstract = {Old movies suffer from various types of degradation: severe noise, blurred edges of objects (low contrast), scratches, spots, etc. Finding an efficient denoising method is one of the most important and one of the oldest problems in image sequence processing. The crucial thing in image sequences is motion. If the motion is insignificant, then any motion noncompensated method of filtering can be applied. However, if the noise is significant, then this approach gives most often unsatisfactory results. In order to increase the quality of frames, motion compensated filters are usually applied. This is a very time consuming and awkward approach due to serious limitations of optical flow methods. In this paper, a review of various filters with motion detection when applied to the processing of image sequences coming from old movies is presented. These filters are nonlinear and based on the concept of multistage median filtering or mathematical morphology. Some new filters are proposed. The idea of these new filters presented here is to detect moving areas instead of performing full estimation of motion in the sequence and to apply exclusively 2D filters in those regions while applying 3D motion noncompensated filters in static areas, which usually significantly reduces the computational burden.},
author = {Skoneczny, Sławomir},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {motion detection; image sequence filtering},
language = {eng},
number = {4},
pages = {481-491},
title = {Image processing for old movies by filters with motion detection},
url = {http://eudml.org/doc/207760},
volume = {15},
year = {2005},
}
TY - JOUR
AU - Skoneczny, Sławomir
TI - Image processing for old movies by filters with motion detection
JO - International Journal of Applied Mathematics and Computer Science
PY - 2005
VL - 15
IS - 4
SP - 481
EP - 491
AB - Old movies suffer from various types of degradation: severe noise, blurred edges of objects (low contrast), scratches, spots, etc. Finding an efficient denoising method is one of the most important and one of the oldest problems in image sequence processing. The crucial thing in image sequences is motion. If the motion is insignificant, then any motion noncompensated method of filtering can be applied. However, if the noise is significant, then this approach gives most often unsatisfactory results. In order to increase the quality of frames, motion compensated filters are usually applied. This is a very time consuming and awkward approach due to serious limitations of optical flow methods. In this paper, a review of various filters with motion detection when applied to the processing of image sequences coming from old movies is presented. These filters are nonlinear and based on the concept of multistage median filtering or mathematical morphology. Some new filters are proposed. The idea of these new filters presented here is to detect moving areas instead of performing full estimation of motion in the sequence and to apply exclusively 2D filters in those regions while applying 3D motion noncompensated filters in static areas, which usually significantly reduces the computational burden.
LA - eng
KW - motion detection; image sequence filtering
UR - http://eudml.org/doc/207760
ER -
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