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Proceedings Paper

NEDI-based interpolation for hierarchical image compression
Author(s): Mikhail Gashnikov
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Paper Abstract

An algorithm for interpolation digital images and signals is developed. The proposed interpolator is based on context modeling. The prototype of the proposed interpolator is the NEDI algorithm (New Edge-Directed Interpolation). The proposed interpolator is adaptive, because different parameters of the interpolating function are used at different points in the image. The NEDI algorithm is modified so that it is able to process special non-redundant hierarchical grids of image pixels. This is necessary to embed the proposed interpolator in the hierarchical method of image compression. Computational experiments to investigate the effectiveness of the hierarchical compression method with the built-in interpolator proposed are carried out. Computational experiments prove that the proposed interpolator allows increasing the efficiency of the hierarchical method of image compression.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064I (9 August 2018); doi: 10.1117/12.2503152
Show Author Affiliations
Mikhail Gashnikov, Samara National Research Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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