Computational foundations of image interpolation algorithms
@article{Acharya2007ComputationalFO, title={Computational foundations of image interpolation algorithms}, author={T. Acharya and P. Tsai}, journal={Ubiquity}, year={2007}, volume={2007}, pages={4:1-4:17} }
Image interpolation is an important image processing operation applied in diverse areas ranging from computer graphics, rendering, editing, medical image reconstruction, to online image viewing. Image interpolation techniques are referred in literature by many terminologies, such as image resizing, image resampling, digital zooming, image magnification or enhancement, etc. Basically, an image interpolation algorithm is used to convert an image from one resolution (dimension) to another… CONTINUE READING
Figures, Tables, and Topics from this paper
74 Citations
A SURVEY ON NON ADAPTIVE IMAGE INTERPOLATION ALGORITHMS BASED ON QUANTITATIVE MEASURES
- Computer Science
- 2016
- PDF
Iterative Image Interpolation vs. Traditional Interpolation Methods
- Mathematics
- 2011
- Highly Influenced
- PDF
Digital image super-resolution using adaptive interpolation based on Gaussian function
- Computer Science
- Multimedia Tools and Applications
- 2013
- 17
Multi-kernel based adaptive interpolation for image super-resolution
- Computer Science
- Multimedia Tools and Applications
- 2012
- 25
- PDF
An efficient image interpolation algorithm based upon the switching and self learned characteristics for natural images
- Mathematics, Computer Science
- 2011 IEEE International Symposium of Circuits and Systems (ISCAS)
- 2011
- 12
- PDF