CFP last date
20 June 2024
Reseach Article

Survey of possible noises on Images & Video � A perspective view

Published on None 2011 by R.Vijaya Arjunan, Dr.V.Vijaya Kumar
journal_cover_thumbnail
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 17
None 2011
Authors: R.Vijaya Arjunan, Dr.V.Vijaya Kumar
679c3de6-8fff-4079-bb82-f6a4c6d389c4

R.Vijaya Arjunan, Dr.V.Vijaya Kumar . Survey of possible noises on Images & Video � A perspective view. International Conference on VLSI, Communication & Instrumentation. ICVCI, 17 (None 2011), 24-26.

@article{
author = { R.Vijaya Arjunan, Dr.V.Vijaya Kumar },
title = { Survey of possible noises on Images & Video � A perspective view },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 17 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 24-26 },
numpages = 3,
url = { /proceedings/icvci/number17/2758-1649/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A R.Vijaya Arjunan
%A Dr.V.Vijaya Kumar
%T Survey of possible noises on Images & Video � A perspective view
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 17
%P 24-26
%D 2011
%I International Journal of Computer Applications
Abstract

Images taken with both digital cameras and conventional film cameras will pick up noise from a variety of sources. Many further uses of these images require that the noise will be (partially) removed - for aesthetic purposes as in artistic work or marketing, or for practical purposes such as computer vision. To go in for further research and analysis we have to analyse the nature of various noises that inculcate in images and various parametres associated within it. We have summarised the most possible noises that forms on images.

References
  1. Jun Ohta (2008). Smart CMOS Image Sensors and Applications. CRC Press. ISBN 0849336813.
  2. Lindsay MacDonald (2006). Digital Heritage.Butterworth-Heinemann.
  3. Junichi Nakamura (2005). Image Sensors and Signal Processing for Digital Still Cameras. CRC Press.ISBN 0849335450.
  4. Rafael C. Gonzalez, Richard E. Woods (2007). Digital Image Processing. Pearson Prenctice Hall. ISBN 013168728X.
  5. Linda G. Shapiro and George C. Stockman (2001). Computer Vision. Prentice-Hall. ISBN 0130307963.
  6. Charles Boncelet (2005). "Image Noise Models". In Alan C. Bovik. Handbook of Image and Video Processing. Academic Press. ISBN 0121197921.
  7. James R. Janesick (2001). Scientific Charge-coupled Devices. SPIE Press. ISBN 0819436984.
  8. Michael A. Covington (2007). Digital SLR Astrophotography. Cambridge University Press. ISBN 0521700817..
  9. R. E. Jacobson, S. F. Ray, G. G. Attridge, and N. R. Axford (2000). The Manual of Photography. Focal Press. ISBN 0240515749.
  10. Thomas S. Huang (1986). Advances in Computer Vision and Image Processing. JAI Press. ISBN 0892324600.
  11. Brian W. Keelan and Robert E. Cookingham (2002). Handbook of Image Quality. CRC Press. ISBN 0824707702.
  12. Joseph G. Pellegrino et al. (2006). "Infrared Camera Characterization". In Joseph D. Bronzino. Biomedical Engineering Fundamentals. CRC Press. ISBN 0849321220.
Index Terms

Computer Science
Information Sciences

Keywords

fat tail film grain granularity