NEDI-based interpolation for hierarchical image compression

Mikhail Gashnikov

doi:10.1117/12.2503152

9 August 2018 NEDI-based interpolation for hierarchical image compression

Mikhail Gashnikov

Author Affiliations +

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108064I (2018) https://doi.org/10.1117/12.2503152
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Mikhail Gashnikov "NEDI-based interpolation for hierarchical image compression", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064I (9 August 2018); https://doi.org/10.1117/12.2503152

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