CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 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

A Novel Technique of Image Mosaicing based on Discrete Wavelet Transform and its Performance Evaluation

by Ravi Bhushan, Ramesh Kumar Sunkaria
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 15
Year of Publication: 2014
Authors: Ravi Bhushan, Ramesh Kumar Sunkaria
10.5120/17256-7602

Ravi Bhushan, Ramesh Kumar Sunkaria . A Novel Technique of Image Mosaicing based on Discrete Wavelet Transform and its Performance Evaluation. International Journal of Computer Applications. 98, 15 ( July 2014), 1-8. DOI=10.5120/17256-7602

@article{ 10.5120/17256-7602,
author = { Ravi Bhushan, Ramesh Kumar Sunkaria },
title = { A Novel Technique of Image Mosaicing based on Discrete Wavelet Transform and its Performance Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 15 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number15/17256-7602/ },
doi = { 10.5120/17256-7602 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:15.003844+05:30
%A Ravi Bhushan
%A Ramesh Kumar Sunkaria
%T A Novel Technique of Image Mosaicing based on Discrete Wavelet Transform and its Performance Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 15
%P 1-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Limitation of camera or other imaging sensor regarding the area coverage in a single shot at a fixed resolution has coined the term Image mosaicing. It is an application of image registration which aligns images taken in different camera coordinate system (i. e. different orientation of camera). In this paper, a new technique of image mosaicing has been proposed in which Discrete-wavelet Transform(DWT) based feature detector and scale-invariant feature transform(SIFT) based feature descriptor has been used which makes this technique robust to image zooming, image rotation, affine distortion and illumination change due to varying light condition during image acquisition. Result shows the improved performance with respect to number of feature points detected and computation time. Also, quantitative evaluation parameter like structural similarity index (SSIM), normalized absolute error (NAE), etc. proves the better performance of this technique compared to other techniques till date.

References
  1. Rosebet Miranda-Luna, Daul, C. , Blondel W. C. P. M. , Hernandez-Mier, Y. , Wolf and D. Guillemin F. , "Mosaicing of Bladder Endoscopic Image Sequences: Distortion Calibration and Registration Algorithm," IEEE Transactions on Biomedical Engineering, pp. 541-553, Vol. 55, no. 2, 2008.
  2. Samy Ait-Aoudi, Mahiou, R. Djebli and H. Guerrout, "Satellite and Aerial Image Mosaicing : A Comparative Insight," 16th International conference on information visualization, pp. 652 – 657, 2012.
  3. Jagjit Singh, "Image Mosaicing with Invariant Features Detection using SIFT," Global Journal of Computer Science and Technology Graphics & Vision, vol. 13, issue 5, Version 1. 0, 2013.
  4. http://www. imosaic. net/
  5. George Wolberg and Siavash Zokai, "Robust Image Registration Using Log-Polar Transform," International Conference on Image Processing, vol. 1, pp. 493-496, 2000.
  6. Pengrui Qiu,Ying Liang and HuiRong, "Image Mosaics Algorithm Based on SIFT Feature Point Matching and Transformation Parameters Automatically Recognizing," Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE), pp. 560-63,2013.
  7. Mathew Brown and David G. Lowe," Automatic Panoramic Image Stitching using Invariant Features", International Journal of Computer Vision 74(1), pp. 59–73, 2007.
  8. X. Dai and S. Khorram, "A feature-based image registration algorithm using improved chain-code representation combined with invariant moments," IEEE Transaction on Geoscience and Remote Sensing, vol. 37 issue 5,pp. 2351 - 2362, 1999.
  9. C. Harris and M. Stephens, "A combined corner and edge detector," In proceeding of Fourth Alvey vision conference UK, pp. 147-151,1988.
  10. Stephen M. Smith and J. Michael Brady, "SUSAN—A New Approach to Low Level Image Processing," International Journal of Computer Vision 23(1), 45–78, 1997.
  11. David G. Lowe, "Object Recognition from Local Scale-Invariant Features," The Proceedings of the Seventh IEEE International Conference on computer vision, vol. 2, pp. 1150 - 1157, 1999.
  12. Deepak Kumar Jain, et al. "A novel still image mosaic algorithm construction using feature based method," International Journal of Electronics Signals and Systems (IJESS), vol. 3, issue1, 2013.
  13. Liu Qing and Lin Tu- sheng "The Corner Detection Algorithm Based on 2-D Discrete Wavelet Transform," The 3rd International Conference on Innovative Computing Information and Control (ICICIC'08), pp. 178, 2008.
  14. T. X. He, "Biorthogonal spline type wavelets," Computers & Mathematics with Applications, vol. 48, issue 9, pp. 1319-1334, 2004.
  15. Zhang Weibo, Li Jianxun and Zhang Zhi. "Performance Evaluation Approach for Image Mosaicing Algorithm," Control and Decision Conference (CCDC), pp. 3786 – 3791, 2013.
  16. Hemlata Joshi and KhomLal Sinha, "Image Mosaicing using Harris, SIFT Feature Detection Algorithm," International Journal of Science, Engineering and Technology Research(IJSETR), Issue 11, vol. 2, pp. 2078-2082, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Image registration DWT SIFT NAE SSIM

Powered by PhDFocusTM