CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

An Adaptive Image Enhancement using Wiener Filtering with Compression and Segmentation

Published on June 2015 by Raajan.p, Muthuselvi.s, Agnes Saleema. A
journal_cover_thumbnail

National Conference on Research Issues in Image Analysis and Mining Intelligence
Foundation of Computer Science USA
NCRIIAMI2015 - Number 1
June 2015
Authors: Raajan.p, Muthuselvi.s, Agnes Saleema. A
af05f30d-b6d3-4d8f-a4f2-ae702ba3597d

Raajan.p, Muthuselvi.s, Agnes Saleema. A . An Adaptive Image Enhancement using Wiener Filtering with Compression and Segmentation. National Conference on Research Issues in Image Analysis and Mining Intelligence. NCRIIAMI2015, 1 (June 2015), 15-19.

@article{
author = { Raajan.p, Muthuselvi.s, Agnes Saleema. A },
title = { An Adaptive Image Enhancement using Wiener Filtering with Compression and Segmentation },
journal = { National Conference on Research Issues in Image Analysis and Mining Intelligence },
issue_date = { June 2015 },
volume = { NCRIIAMI2015 },
number = { 1 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 15-19 },
numpages = 5,
url = { /proceedings/ncriiami2015/number1/21018-4006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Research Issues in Image Analysis and Mining Intelligence
%A Raajan.p
%A Muthuselvi.s
%A Agnes Saleema. A
%T An Adaptive Image Enhancement using Wiener Filtering with Compression and Segmentation
%J National Conference on Research Issues in Image Analysis and Mining Intelligence
%@ 0975-8887
%V NCRIIAMI2015
%N 1
%P 15-19
%D 2015
%I International Journal of Computer Applications
Abstract

Today information technology plays an eminent role in every fields of human survival. Due to the rapid development in the information processing system, and the huge data base become a challenging tasks. Due to the various issues in the text processing, image processing has been emerged to provide a solution to such issues using various stages viz. , image acquisition, image enhancement and image retrieval. In this paper a method for preprocessing of images and compression of filtered images with lossy and lossless compression is and segmentation is presented. Finally, this paper shows a compact image processing and the result of compared to evaluate the performance of the methods.

References
  1. Chan, Raymond H. , Chung-Wa Ho, and Mila Nikolova. "Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization. " Image Processing, IEEE Transactions on 14. 10 (2005): 1479-1485.
  2. Davenport, Wilbur B. , and William L. Root. Random signals and noise. New York: McGraw-Hill, 1958.
  3. Mythili, C. , and V. Kavitha. "Efficient Technique for Color Image Noise Reduction. " The research bulletin of Jordan, ACM 1. 11 (2011): 41-44.
  4. Zhou, Huiyu, Jiahua Wu, and Jianguo Zhang. Digital Image Processing: Part II. Bookboon, 2010.
  5. Abdallah, Yousif Mohamed Y. , and Abdalrahman Hassan. "Segmentation of Brain in MRI Images Using Watershed-based Technique. "
  6. Rebelo, Ana, and Jaime S. Cardoso. "Staffline Detection in Grayscale Domain. "
  7. Jiang, Yuan, and Zhi-Hua Zhou. "SOM ensemble-based image segmentation. " Neural Processing Letters 20. 3 (2004): 171-178.
  8. Lakshmi, S. , and Dr V. Sankaranarayanan. "A study of edge detection techniques for segmentation computing approaches. " Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications (2010): 35-41.
  9. Maini, Raman, and Himanshu Aggarwal. "Study and comparison of various image edge detection techniques. " International journal of image processing (IJIP) 3. 1 (2009): 1-11.
  10. Davis, Geoffrey M. "A wavelet-based analysis of fractal image compression. " Image Processing, IEEE Transactions on 7. 2 (1998): 141-154.
  11. Vemuri, B. C. , et al. "Lossless image compression. "
  12. Acharjya, Pinaki Pratim, and Dibyendu Ghoshal. "Watershed segmentation based on distance transform and edge detection techniques. " International Journal of Computer Applications 52. 13 (2012): 583-598.
  13. Belaid, Lamia Jaafar, and Walid Mourou. "Image segmentation: a watershed transformation algorithm. " Image Analysis & Stereology 28. 2 (2011): 93-102.
  14. Tripatjot Singh,Sanjeev Chopra,Harmanpreet Kaur, Amandeep Kaur. "Image Compression Using Wavelet and Wavelet Packet Transformation. " IJCST Vol. 1, Issue 1, September 2010.
  15. Albertus Joko Santoso, Dr. Lukito Edi Nugroho, Dr. Gede Bayu Suparta, Dr. Risanuri Hidayat. "Compression Ratio and Peak Signal to Noise Ratio in Grayscale Image Compression using Wavelet. " IJCST Vol. 2, Issue 2, June 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Psnr Mse Compression Ratio (cr) Gaussian Filters.