Image compression using stitching with Harris corner detector and SPIHT coding

Wai Chong Chia; Li Minn Ang; Kah Phooi Seng

doi:10.1007/978-3-642-05036-7_62

Image compression using stitching with Harris corner detector and SPIHT coding

Wai Chong Chia, Li Minn Ang, Kah Phooi Seng

University of Nottingham

Research output: Book chapter/Published conference paper › Conference paper › peer-review

Abstract

An image compression technique that uses the Harris corner detector and SPIHT coding to encode images from two cameras with overlapping field of view is proposed in this paper. Firstly, the Harris corner detector is used to extract the feature points in the two images separately. Secondly, the feature points are matched and the homography that relates the two images is estimated using RANSAC. Finally, the two images are stitched together and the SPIHT coding is used to compress the stitched image. Since the resolution of the stitched image is not always fixed and difficult to be predetermined, the tree structure that is adopted by the SPIHT coding is slightly modified to resolve the problem. Generally, this technique can also be viewed as an alternative solution for joint sources image compression. The simulation results show that the file size can be reduced by approximately 14.25-25.49% depending on the amount of the overlapping region.

Original language	English
Title of host publication	Visual Informatics
Subtitle of host publication	Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings
Pages	653-663
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-05036-7_62
Publication status	Published - 01 Dec 2009
Event	1st International Visual Informatics Conference, IVIC 2009 - Kuala Lumpur, Malaysia Duration: 11 Nov 2009 → 13 Nov 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5857 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Visual Informatics Conference, IVIC 2009
Country/Territory	Malaysia
City	Kuala Lumpur
Period	11/11/09 → 13/11/09

Access to Document

10.1007/978-3-642-05036-7_62

Cite this

Chia, W. C., Ang, L. M., & Seng, K. P. (2009). Image compression using stitching with Harris corner detector and SPIHT coding. In Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings (pp. 653-663). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS). https://doi.org/10.1007/978-3-642-05036-7_62

Chia, Wai Chong ; Ang, Li Minn ; Seng, Kah Phooi. / Image compression using stitching with Harris corner detector and SPIHT coding. Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. 2009. pp. 653-663 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "An image compression technique that uses the Harris corner detector and SPIHT coding to encode images from two cameras with overlapping field of view is proposed in this paper. Firstly, the Harris corner detector is used to extract the feature points in the two images separately. Secondly, the feature points are matched and the homography that relates the two images is estimated using RANSAC. Finally, the two images are stitched together and the SPIHT coding is used to compress the stitched image. Since the resolution of the stitched image is not always fixed and difficult to be predetermined, the tree structure that is adopted by the SPIHT coding is slightly modified to resolve the problem. Generally, this technique can also be viewed as an alternative solution for joint sources image compression. The simulation results show that the file size can be reduced by approximately 14.25-25.49% depending on the amount of the overlapping region.",

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Chia, WC, Ang, LM & Seng, KP 2009, Image compression using stitching with Harris corner detector and SPIHT coding. in Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5857 LNCS, pp. 653-663, 1st International Visual Informatics Conference, IVIC 2009, Kuala Lumpur, Malaysia, 11/11/09. https://doi.org/10.1007/978-3-642-05036-7_62

Image compression using stitching with Harris corner detector and SPIHT coding. / Chia, Wai Chong; Ang, Li Minn; Seng, Kah Phooi.
Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. 2009. p. 653-663 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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Chia WC, Ang LM, Seng KP. Image compression using stitching with Harris corner detector and SPIHT coding. In Visual Informatics: Bridging Research and Practice - First International Visual Informatics Conference, Conference, IVIC 2009, Proceedings. 2009. p. 653-663. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-05036-7_62

Image compression using stitching with Harris corner detector and SPIHT coding

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