Hyperspectral image coding using 3D transforms

D. Markman, D. Malah

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionarypeer-review

14 Scopus citations

Abstract

This work considers the efficient coding of hyperspectral images. The shape-adaptive DCT is extended to the three-dimensional case. Both the 3D-SA-DCT and the conventional 3D-DCT are combined with either of two alternative techniques for coding the transform coefficients. The proposed schemes are compared with two state of the art coding algorithms, which serve as benchmarks, and are found to have better performance (in terms of PSNR). Particularly good performance is shown by the coder based on the 3D-SA-DCT in a classification task applied to the coded images.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2001
Pages114-117
Number of pages4
StatePublished - 2001
EventIEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece
Duration: 7 Oct 200110 Oct 2001

Conference

ConferenceIEEE International Conference on Image Processing (ICIP) 2001
Country/TerritoryGreece
CityThessaloniki
Period7/10/0110/10/01

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Hyperspectral image coding using 3D transforms'. Together they form a unique fingerprint.

Cite this