Hierarchical image representation for compression, filtering and normalization

Joseph Naor; Shmuel Peleg

doi:10.1016/0167-8655(83)90021-1

Hierarchical image representation for compression, filtering and normalization

Joseph Naor^*, Shmuel Peleg

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Applications of pyramid data structure to image compression and image filtering are described. The compression scheme fits visual perception models, and filtering is computationally faster than filtering in the frequency domain. Image normalization is also possible.

Original language	English
Pages (from-to)	43-46
Number of pages	4
Journal	Pattern Recognition Letters
Volume	2
Issue number	1
DOIs	https://doi.org/10.1016/0167-8655(83)90021-1
State	Published - Oct 1983

Keywords

compression
filtering
hierarchical structures
normalization
Pyramid

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10.1016/0167-8655(83)90021-1

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abstract = "Applications of pyramid data structure to image compression and image filtering are described. The compression scheme fits visual perception models, and filtering is computationally faster than filtering in the frequency domain. Image normalization is also possible.",

keywords = "compression, filtering, hierarchical structures, normalization, Pyramid",

author = "Joseph Naor and Shmuel Peleg",

year = "1983",

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Hierarchical image representation for compression, filtering and normalization

Abstract

Keywords

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