Детайли за публикацията
(Publication details)

Autors: Zapryanov, G. S.
Title: INTERPOLATION ALGORITHMS FOR IMAGE SCALING
Keywords: range area; coefficient of working area; models for simulation.

Abstract: Nowadays, the tendency for image visualization is devises, which have determined resolution, to be used more and more. Image resampling is essential for the purpose of correct image visualization. In this paper, parallel between different resampling algorithms is made, and as basis for this comparison are used three methods: Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Subjective Evaluation (SE). In the present paper are given qualitative and quantitative results from the execution of the above algorithms upon special, designed for the purpose, vector graphics and sele

References

  1. Lancaster, D., 2005, Using Cubic Spline Basis Functions for Image Pixel Interpolation, e-book, AZ, USA, , <http://www.tinaja.com/glib/basis.pdf>, Дата на последен преглед (Last accessed on):
  2. Lee, C.,, 1998, IEEE Transaction on Image Processing: High-Quality Image Resizing Using Oblique Projection Operators, , May 1998, <>, IEEE
  3. Su, D., Willis, P.,, 2004, Computer Graphics Forum: Image Interpolation by Pixel Level Data-Dependant Triangulation, , 2004, <>, IEEE
  4. Vatolin, D.,Putilin, S.,, 2003, n. Image scaling methods evaluation and comparative results between different methods, Moscow,
  5. Battiato, S.,, 2000, Proceedings of Signal Processing and Communications SPC: A new edge-adaptive zooming algorithm for digital images, Marbella, Spain, 2000, <>,
  6. Radaelli-Snachez, R.,Baraniuk, R.,, 2003, Gibbs Phenomenon, CNX, <www.cnx.rice.edu/content/m10092/latest/>, Дата на последен преглед (Last accessed on):
  7. CompuPhase, 2004, Quick Image Scaling by 2, <www.compuphase.com>, Дата на последен преглед (Last accessed on):

Issue
ELECTRONICS’ 2005,21 – 23 September, vol. 1, pp. 163-167, 2005, Bulgaria,

Вид: пленарен доклад в международен форум

Въведена от: студ. докт. Бончо Василев Ников