Component ratio preserving compression for remote sensing applications

Ismail Avcibas, Bulent Sankur, Khalid Sayood, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingChapter

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)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages700-708
Number of pages9
Volume3974
StatePublished - 2000
EventImage and Video Communications and Processing 2000 - San Jose, CA, USA
Duration: Jan 25 2000Jan 28 2000

Other

OtherImage and Video Communications and Processing 2000
CitySan Jose, CA, USA
Period1/25/001/28/00

Fingerprint

preserving
remote sensing
Remote sensing
coders
vector quantization
Vector quantization
Color
deviation
color

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Avcibas, I., Sankur, B., Sayood, K., & Memon, N. (2000). Component ratio preserving compression for remote sensing applications. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3974, pp. 700-708). Society of Photo-Optical Instrumentation Engineers.

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

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3974 Society of Photo-Optical Instrumentation Engineers, 2000. p. 700-708.

Research output: Chapter in Book/Report/Conference proceedingChapter

Avcibas, I, Sankur, B, Sayood, K & Memon, N 2000, Component ratio preserving compression for remote sensing applications. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 3974, Society of Photo-Optical Instrumentation Engineers, pp. 700-708, Image and Video Communications and Processing 2000, San Jose, CA, USA, 1/25/00.
Avcibas I, Sankur B, Sayood K, Memon N. Component ratio preserving compression for remote sensing applications. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3974. Society of Photo-Optical Instrumentation Engineers. 2000. p. 700-708
Avcibas, Ismail ; Sankur, Bulent ; Sayood, Khalid ; Memon, Nasir. / Component ratio preserving compression for remote sensing applications. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3974 Society of Photo-Optical Instrumentation Engineers, 2000. pp. 700-708
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