Classification of methods of spatial expansion of image
Keywords:
spatial expansion of image, methods of treatment, realizationAbstract
Classification of interpolation methods was performed. Main algorithms realization is described and results of their work are compared
Downloads
Download data is not yet available.
References
1. E. B. Bellers and G. de Haan, De-interlacing: A key technology for scan rateconversion, Advances in Image communications, Elsevier, Vol. 9, ISBN: 0-444-50594-6, 2000.
2. G. de Haan, Video Processing for Multimedia Systems, 2nd Edition, ISBN:90-9014015-8, 2000.
3. G. de Haan and E. B. Bellers, “De-interlacing - an overview”, Proceedings of the IEEE, Vol. 86, Issue 9, pp. 1839-1857, Sep. 1998.
4. T. Kondo, T. Fujiwara, Y. Okumura, and Y. Node, “Picture conversion apparatus, picture conversion method, learning apparatus and learning method”, US-patent 6,323,905, Nov. 2001.
5. C. B. Atkins et al., “Optimal image scaling using pixel classification”, 2001 International Conference on Image Processing, Vol. 3, pp. 864-867, 2001.
6. R. O. Duda, P. E. Hart and D. G. Stork, Pattern classification, 2nd Edition, Chichester: Wiley-Interscience, ISBN 0-471-05669-3, pp. 100-107, 2001.
7. T. K. Moon, “The Expectation-Maximization algorithm”, IEEE Signal Processing Magazine, Vol. 13, No. 6, pp. 47-60, Nov. 1996.
8. E. B. Bellers and J. Caussyn, “A high definition experience from standard definition video”, Proceedings of the SPIE, the International Society for Optical Engineering, Vol. 5022, pp. 594-603, 2003.
9. J. Tegenbosch, P. Hofman and M. Bosma, “Improving nonlinear up-scaling by adapting to the local edge orientation”, Proceedings of the SPIE, Vol. 5308, pp. 1181-1190, Jan. 2004.
10. X. Li and M. T. Orchard, “New edge-directed interpolation”. IEEE Transactions on Image Processing, Vol. 10, No 10, Oct. 2001, pp. 1521-1527.
2. G. de Haan, Video Processing for Multimedia Systems, 2nd Edition, ISBN:90-9014015-8, 2000.
3. G. de Haan and E. B. Bellers, “De-interlacing - an overview”, Proceedings of the IEEE, Vol. 86, Issue 9, pp. 1839-1857, Sep. 1998.
4. T. Kondo, T. Fujiwara, Y. Okumura, and Y. Node, “Picture conversion apparatus, picture conversion method, learning apparatus and learning method”, US-patent 6,323,905, Nov. 2001.
5. C. B. Atkins et al., “Optimal image scaling using pixel classification”, 2001 International Conference on Image Processing, Vol. 3, pp. 864-867, 2001.
6. R. O. Duda, P. E. Hart and D. G. Stork, Pattern classification, 2nd Edition, Chichester: Wiley-Interscience, ISBN 0-471-05669-3, pp. 100-107, 2001.
7. T. K. Moon, “The Expectation-Maximization algorithm”, IEEE Signal Processing Magazine, Vol. 13, No. 6, pp. 47-60, Nov. 1996.
8. E. B. Bellers and J. Caussyn, “A high definition experience from standard definition video”, Proceedings of the SPIE, the International Society for Optical Engineering, Vol. 5022, pp. 594-603, 2003.
9. J. Tegenbosch, P. Hofman and M. Bosma, “Improving nonlinear up-scaling by adapting to the local edge orientation”, Proceedings of the SPIE, Vol. 5308, pp. 1181-1190, Jan. 2004.
10. X. Li and M. T. Orchard, “New edge-directed interpolation”. IEEE Transactions on Image Processing, Vol. 10, No 10, Oct. 2001, pp. 1521-1527.
Downloads
Published
2009-04-13
How to Cite
Верес, З. Є., & Наконечний, А. Й. (2009). Classification of methods of spatial expansion of image. METHODS AND DEVICES OF QUALITY CONTROL, (1(22), 76–80. Retrieved from https://mpky.nung.edu.ua/index.php/mpky/article/view/288
Issue
Section
METHODS AND DEVICES FOR THE TECHNOLOGICAL PARAMETERS CONNTROL
.png)
