Component ratio preserving compression for remote sensing applications

Ismail Avcibas, Bulent Sankur, Khalid Sayood, Nasir Memon

Research output: Contribution to journalConference article

Abstract

This paper presents a new distortion measure for multi-band image vector quantization. The distortion measure penalizes the deviation in the ratios of the components. We design a VQ coder for the proposed ratio distortion measure. We then give experimental results that demonstrate that the new VQ coder yields better component ratio preservation than conventional techniques. For sample images, the proposed scheme outperforms SPIHT, JPEG and conventional VQ in color ratio preservation.

Original languageEnglish (US)
Pages (from-to)700-708
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3974
StatePublished - Jan 1 2000
EventImage and Video Communications and Processing 2000 - San Jose, CA, USA
Duration: Jan 25 2000Jan 28 2000

Fingerprint

Remote Sensing
preserving
remote sensing
Remote sensing
Compression
coders
Preservation
vector quantization
Vector quantization
SPIHT
Vector Quantization
Color
deviation
color
Deviation
Experimental Results
Demonstrate

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Component ratio preserving compression for remote sensing applications. / Avcibas, Ismail; Sankur, Bulent; Sayood, Khalid; Memon, Nasir.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 3974, 01.01.2000, p. 700-708.

Research output: Contribution to journalConference article

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