Authors :
T S Bhagavath Singh; Abhishek V; Akhil K; Hardik Goyal; Harshavardhana C Joshi
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/rpsw86ve
Scribd :
https://tinyurl.com/2p8yrkjy
DOI :
https://doi.org/ 10.5281/zenodo. 14565215
Abstract :
This survey examines ten research articles
analyzing multiple facets of interpolation techniques,
highlighting their methodologies, applications, and
advancements. We categorize these techniques into
linear, polynomial, spline, non-linear, and hybrid
approaches, discussing their effectiveness and limitations
in real-world applications. Thepaper aims to offer an in-
depth analysis of the current interpolation state in DSP,
identifying challengesand suggesting future research
directions.
References :
- J. Xiao, X. Zou, Z. Liu, X. Gu, A Novel Adaptive Interpolation Algorithm For Image Resizing, International Journal of Innovative Computing, Information and Control, Vol. 3, n. 6(A), pp. 1335- 1345, 2007.
- Wolberg, G., Massalin, H., A Fast Algorithm for Digital Image Scaling, Proceedings of Computer Graphics International (Year of Publication: 1993).
- F. Chin, A. Choi, Y. Luo, Optimal Generating Kernels for Image Pyramids by Piecewise Fitting, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 14, n. 12, pp. 1190-1198,1992.
- P. Meer, E.S. Baugher, A. Rosenfeld, Frequency Domain Analysis and Synthesis of Image Pyramid Generating Kernels, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-9, n. 4, pp. 512-522, 1987.
- P.P.Vaidyanathan, Multirate Systems and Filter Banks (Prentice Hall, 1993).
- G. Wolberg, Digital Image Warping (IEEE Computer Society Press, 1992).
- W.H. Press, B.P. Flannery, S.A. Teukolsky, W.T. Vetterling, Numerical Recipes: The Art of Scientific Computing (FORTRAN Version) (Cambridge University Press, 1989).
- C. Boor, A Practical Guide to Splines (Springer Verlag, 1978).
- R.C. Gonzalez, R.E. Woods, Digital Image Processing (Prentice Hall, 2007).
- K. Turkowski, Filters for common resampling tasks, In A.S. Glassner (Ed.), Graphic Gems, 4 (San Diego: Academic Press, 1990, 147-170).
- M. Unser, A. Aldroubi, M. Eden, Fast B-Spline Transforms for Continuous Image Representation and Interpolation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13, n. 3, pp. 277-285, 1991.
- Meijering, E.H.W., Niessen, W.J., Viergever, M.A., The sinc- approximating kernels of classical polynomial interpolation, Proceedings of the International Conference on Image Processing (Page: 652-656 Year of Publication: 1999 ISBN: 0-7803-5467-2).
- Zhe, W., Jiefu, Z., Mengchu, Z., A Fast Autoregression Based Image Interpolation Method, Proceedings of the IEEE International Conference on Networking, Sensing and Control (Page: 1400- 1404 Year of Publication: 2008 ISBN: 978-1-4244-1685-1).
- Amanatiadis, A., Andreadis, I., Konstatinidis, K., Fuzzy Area- Based Image Scaling, Proceedings of the IEEE Instrumentation and Measurement Technology Conference (Page: 1-6 Year of Publication: 2007 ISBN: 1-4244-0588-2).
- Mueller, N., Nguyen, T.K., Image interpolation using classification and stitching, Proceedings of the IEEE International Conference on Image Processing (Page: 901- 904 Year of Publication: 2008 ISBN: 978-1-4244-1765-0).
- Morse, B.S., Schwartzwald, D., Isophote-based interpolation, Proceedings of the IEEE International Conference on Image Processing (Page: 227-231 Year of Publication: 1998 ISBN: 0-8186-8821-1).
- Liang, F., Xie, K., An Image Interpolation Scheme combined with Artificial Neural Network, Proceedings of the Third International Conference on Natural Computation (Page: 99- 102 Year of Publication: 2007 ISBN: 978-0-7695-2875-5).
- S.D. Ruikar, D.D. Doye, Image Denoising using Tri Nonlinear and Nearest Neighbour Interpolation with Wavelet Transform, International Journal of Information Technology and Computer Science, Vol.4, n. 9, pp. 36-44, 2012.
- D. Su, P. Willis, Image Interpolation by Pixel Level Data- Dependent Triangulation, Computer Graphics Forum, Vol.23, n. 2, pp. 189-201, 2004.
- Zhang, J., Kuo, C., Region-adaptive Texture-aware Image Resizing, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (Page: 837-840 Year of Publication: 2012 ISBN: 978-1-4673-0045-2).
This survey examines ten research articles
analyzing multiple facets of interpolation techniques,
highlighting their methodologies, applications, and
advancements. We categorize these techniques into
linear, polynomial, spline, non-linear, and hybrid
approaches, discussing their effectiveness and limitations
in real-world applications. Thepaper aims to offer an in-
depth analysis of the current interpolation state in DSP,
identifying challengesand suggesting future research
directions.