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2005 | 15 | 4 | 481-491
Tytuł artykułu

Image processing for old movies by filters with motion detection

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Słowa kluczowe
Rocznik
Tom
15
Numer
4
Strony
481-491
Opis fizyczny
Daty
wydano
2005
otrzymano
2005-06-01
poprawiono
2005-09-01
Twórcy
  • Institute of Control and Industrial Electronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
Bibliografia
  • Arce G.R. and Foster R. (1989): Detail-preserving rank-order based filters for image processing. - IEEE Trans. Acoust. Speech Signal. Process., Vol. ASSP-37, No. 1, pp. 83-98.
  • Ataman E., Aatre V.K. and Wong K.M. (1981): Some statistical properties of median filters. - IEEE Trans. Acoust. Speech Signal. Process., Vol. ASSP-29, No. 5, pp. 1073- 1075
  • Brailean J.C., Kleihorst R.P., Efstratiadis S., Katsaggelos A.K. and Lagendijk R. (1995): Noise reduction filters for dynamic image sequences: A review. - Proc. IEEE, Vol. 83, No. 9, pp. 1272-1292.
  • Bruni V. and Vitulano D. (2004): Old movies noise reduction via wavelets and Wiener filters. - WSCG, Vol. 12, No. 1-3, pp. 65-72.
  • David H.A. (1980): Order Statistics.- New York: Willey.
  • Huang T.S. (1981): Image Sequence Analysis. - New York: Springer.
  • Kokaram A.C. (1993): Motion Picture Restoration. - Ph.D. thesis, Cambridge University, U.K.
  • Nieminen A., Heinonen P. and Neuvo Y. (1987): A new class of detail-preserving filters for image processing. - IEEE Trans. Pattern Anal. Mach. Intell., Vol. PAMI-9, No. 1, pp. 74-90
  • Sezan M. and Lagendijk R. (1993): Motion Analysis and Image Sequence Processing. - Boston: Kluwer.
  • Vega-Riveros J.F. and Jabbour K. (1989): Review of motion analysis techniques. -IEEE Proc., Vol. 136, Pt. I, No. 6.
  • Wang X. (1992): Generalized multistage median filters.-IEEE Trans. Image Process., Vol. 1, No. 4, pp. 543-545.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv15i4p481bwm
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