Image representation using Voronoi tessellation: Adaptive and secure.

Hillel Rom; Shmuel Peleg

Image representation using Voronoi tessellation: Adaptive and secure.

Hillel Rom^*, Shmuel Peleg

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

An image is represented by the Voronoi tessellation generated from selected sampling points. Using a multiresolution approach, the density of the sampling points can be adaptive to image properties: smoother regions will have fewer sampling points than more detailed regions. The adaptation property results in better image quality than nonadaptive Voronoi representations, while preserving the property that only the holder of the seed of the pseudorandom number generator can reconstruct the original image.

Original language	English
Title of host publication	Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit
Publisher	Publ by IEEE
Pages	282-285
Number of pages	4
ISBN (Print)	0818608625
State	Published - 1988

Publication series

Name	Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit

Cite this

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title = "Image representation using Voronoi tessellation: Adaptive and secure.",

abstract = "An image is represented by the Voronoi tessellation generated from selected sampling points. Using a multiresolution approach, the density of the sampling points can be adaptive to image properties: smoother regions will have fewer sampling points than more detailed regions. The adaptation property results in better image quality than nonadaptive Voronoi representations, while preserving the property that only the holder of the seed of the pseudorandom number generator can reconstruct the original image.",

author = "Hillel Rom and Shmuel Peleg",

year = "1988",

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series = "Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit",

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Image representation using Voronoi tessellation: Adaptive and secure. / Rom, Hillel; Peleg, Shmuel.
Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit. Publ by IEEE, 1988. p. 282-285 (Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Peleg, Shmuel

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AB - An image is represented by the Voronoi tessellation generated from selected sampling points. Using a multiresolution approach, the density of the sampling points can be adaptive to image properties: smoother regions will have fewer sampling points than more detailed regions. The adaptation property results in better image quality than nonadaptive Voronoi representations, while preserving the property that only the holder of the seed of the pseudorandom number generator can reconstruct the original image.

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BT - Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit

PB - Publ by IEEE

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Image representation using Voronoi tessellation: Adaptive and secure.

Abstract

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