A Novel Analysis of Noise and Filtering Mechanism for Image Enhancement - A Review

Authors

  • Abhinav Singh Andotra  Department of CET, G.N.D.U, Amritsar, Punjab, India
  • Sandeep Sharma  Department of CET, G.N.D.U, Amritsar, Punjab, India

Keywords:

Noise, Overlapping , Redundancy, Filtering

Abstract

Image processing is one of the thrust area and is used in almost every field of the study. Image processing is used in order to enhance, smoothening, filtering etc. the image. There are number of techniques which are suggested in order to enhance and smoothening the image. When images merged together then pixels may overlap with each other. This overlapping of image will cause redundancy within the image. In this paper we have surveyed and analyzed this redundancy problem. In order to determine the problem solving mechanism, large number of algorithms have been analyzed to check redundancy in the image and to find the solution which is optimal in nature.

References

  1. M. Raghav and S. Raheja, "IMAGE DENOISING TECHNIQUES : LITERATURE REVIEW, "vol. 3, no. 5, 2014.
  2. P. Janani, J. Premaladha, and K. S. Ravichandran, "Image Enhancement Techniques : A Study, "vol. 8, no. September, 2015.
  3. F. Khalvati, "Computational Redundancy in Image Processing, "Image (Rochester, N. Y. ), no. November, 2008.
  4. P. Parmar and N. Jindal, "Image Security with Integrated Watermarking and Encryption 1 1 2, "vol. 9, no. 3, pp. 24-29, 2014.
  5. M. Mofarreh-bonab, "Image Encryption by PCA, "vol. 3, no. 3, pp. 28-30, 2015.
  6. R. a. M, K. W. M, E. M. a, and W. Ahmed, "Jpeg Image Compression Using Discrete Cosine Transform - A Survey, "Int. J. Comput. Sci. Eng. Surv. , vol. 5, no. 2, pp. 39-47, 2014.
  7. A. Kaur and J. Kaur, "Comparision of Dct and Dwt of Image Compression Techniques, "vol. 1, no. 4, pp. 49-52, 2012.
  8. D. Kumar and Sonal, "A Study Of Various Image Compression, "Conf. Challenges Oppor. Inf. Technol. , pp. 1-5, 2007.
  9. S. Rani, "Available Online at www. ijarcs. info Watermarking using DWT and PCA, "vol. 6, no. 6, pp. 117-120, 2015.
  10. M. Vidyasagar and J. S. R. Victor, "Modified Run Length Encoding Scheme for High Data Compression Rate, "vol. 2, no. 12, pp. 2-6, 2013.  "Image Compression. "
  11. G. Badshah, S. Liew, J. M. Zain, S. I. Hisham, and A. Zehra, "Importance of Watermark Lossless Compression in Digital Medical Image Watermarking, "vol. 4, no. 3, pp. 75-79, 2015.
  12. M. Sharma, "Compression Using Huffman Coding, "IJCSNS Int. J. Comput. Sci. Netw. Secur. , vol. 10, no. 5, (May, pp. 133-141, 2010.
  13. I. H. Witten, A. Moffat, and T. C. Bell, Managing gigabytes : compressing and indexing documents and images. 1999.
  14. P. S. J. Sree, P. Kumar, R. Siddavatam, and R. Verma, "Salt-and-pepper noise removal by adaptive median-based lifting filter using second-generation wavelets, "Signal, Image Video Process. , vol. 7, no. 1, pp. 111-118, Feb. 2011.
  15. A. H. Pilevar, S. Saien, M. Khandel, and B. Mansoori, "A new filter to remove salt and pepper noise in color images, "Signal, Image Video Process. , vol. 9, no. 4, pp. 779-786, 2015.
  16. Y. Ma, D. Lin, B. Zhang, Q. Liu, and J. Gu, "A Novel Algorithm of Image Gaussian Noise Filtering based on PCNN Time Matrix, "in 2007 IEEE International Conference on Signal Processing and Communications, 2007, pp. 1499-1502.
  17. T. K. Djidjou, D. A. Bevans, S. Li, and A. Rogachev, "Observation of Shot Noise in Phosphorescent Organic Light-Emitting Diodes, "vol. 61, no. 9, pp. 3252-3257, 2014.
  18. A. Kumari, P. J. Thomas, and S. K. Sahoo, "Single image fog removal using gamma transformation and median filtering, "11th IEEE India Conf. Emerg. Trends Innov. Technol. INDICON 2014, 2015.
  19. G. Deng and L. W. Cahill, "An adaptive Gaussian filter for noise reduction and edge detection, "in 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference, pp. 1615-1619.
  20. N. Kumar and A. Kumar, "Image Denoising Techniques in Spatial Domain and Wavelet Domain, "vol. 3, no. 2, pp. 649-653, 2014.
  21. S. Shrestha, "Image Denoising Using New Adaptive Based Median Filter, "Signal Image Process. , vol. 5, no. 4, pp. 1-13, 2014.
  22. M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries. , "IEEE Trans. Image Process. , vol. 15, no. 12, pp. 3736-45, 2006.
  23. D. Redundancy, "Chapter 2 Digital Image Compression, "pp. 4-15.
  24. C. Fundamentals, "Compression Fundamentals. "
  25. M. Satone and G. Kharate, "Feature Selection Using Genetic Algorithm for Face Recognition Based on PCA , Wavelet and SVM, "vol. 6, no. 1, pp. 39-52, 2014.
  26. D. Hovy and S. L. Spruit, "The Social Impact of Natural Language Processing, "2001.
  27. Z. Beiji and M. Y. Abdullah, "Information Security Technique in Frequency Domain, "vol. 5, no. December, pp. 279-289, 2011.
  28. P. G. Howard and J. S. Vitter, "Parallel lossless image compression using Huffman and arithmetic coding, "in Data Compression Conference, 1992. , pp. 299-308.
  29. C. Science and M. Studies, "Colored Image Watermarking : A Basis, "vol. 7782, pp. 148-152, 2015.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Abhinav Singh Andotra, Sandeep Sharma, " A Novel Analysis of Noise and Filtering Mechanism for Image Enhancement - A Review , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.820-830, November-December-2017.