A near-lossless compression method based on CCSDS for satellite images

Shen-Chuan Tai, Tse Ming Kuo, Cheng Han Ho, Tzu Wen Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Satellite images have been more and more popularly used in our daily life. For satellite image compression, the Consultative Committee for Space Data Systems (CCSDS) had proposed an image compression standard (CCSDS-ICS) which is so far the most widely implemented in hardware. CCSDS-ICS provides good compression performance under the measure of PSNR. However, PSNR is a concept of average differences between the original image and the reconstructed one, which can not guarantee that the maximum difference of the two images would be less than an expected error. For using the information of satellite images more precisely without modifying the existing hardware system of CCSDS-ICS, a fearlessness strip-based satellite image compression algorithm is proposed. An adaptive pre-quantizer in order to reduce the entropy of an image is adopted and the quantized data is then fed into CCSDS-ICS as an input to be processed in the loss less compression mode. Experiment results show that by the proposed algorithm, not only can the good performance under the measure of PSNR be preserved, but also the differences are limited in the expected range to increase the reliability and the precision of the use of compressed satellite images.

Original languageEnglish
Title of host publicationProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012
Pages706-709
Number of pages4
DOIs
Publication statusPublished - 2012 Jul 30
Event2012 International Symposium on Computer, Consumer and Control, IS3C 2012 - Taichung, Taiwan
Duration: 2012 Jun 42012 Jun 6

Publication series

NameProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

Other

Other2012 International Symposium on Computer, Consumer and Control, IS3C 2012
CountryTaiwan
CityTaichung
Period12-06-0412-06-06

Fingerprint

Satellites
Image compression
Hardware
Entropy
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Tai, S-C., Kuo, T. M., Ho, C. H., & Liao, T. W. (2012). A near-lossless compression method based on CCSDS for satellite images. In Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012 (pp. 706-709). [6228406] (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012). https://doi.org/10.1109/IS3C.2012.183
Tai, Shen-Chuan ; Kuo, Tse Ming ; Ho, Cheng Han ; Liao, Tzu Wen. / A near-lossless compression method based on CCSDS for satellite images. Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. pp. 706-709 (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).
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Tai, S-C, Kuo, TM, Ho, CH & Liao, TW 2012, A near-lossless compression method based on CCSDS for satellite images. in Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012., 6228406, Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012, pp. 706-709, 2012 International Symposium on Computer, Consumer and Control, IS3C 2012, Taichung, Taiwan, 12-06-04. https://doi.org/10.1109/IS3C.2012.183

A near-lossless compression method based on CCSDS for satellite images. / Tai, Shen-Chuan; Kuo, Tse Ming; Ho, Cheng Han; Liao, Tzu Wen.

Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. p. 706-709 6228406 (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Tai S-C, Kuo TM, Ho CH, Liao TW. A near-lossless compression method based on CCSDS for satellite images. In Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. p. 706-709. 6228406. (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012). https://doi.org/10.1109/IS3C.2012.183