A novel image compression algorithm for high resolution 3D reconstruction

SIDDEQ, M. M. and RODRIGUES, Marcos (2014). A novel image compression algorithm for high resolution 3D reconstruction. 3D research, 5 (7), 17 pages.

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Abstract

This research presents a novel algorithm to compress high-resolution images for accurate structured light 3D reconstruction. Structured light images contain a pattern of light and shadows projected on the surface of the object, which are captured by the sensor at very high resolutions. Our algorithm is concerned with compressing such images to a high degree with minimum loss without adversely affecting 3D reconstruction. The Compression Algorithm starts with a single level discrete wavelet transform (DWT) for decomposing an image into four sub-bands. The sub-band LL is transformed by DCT yielding a DC-matrix and an AC-matrix. The Minimize-Matrix-Size Algorithm is used to compress the AC-matrix while a DWT is applied again to the DC-matrix resulting in LL2, HL2, LH2 and HH2 sub-bands. The LL2 sub-band is transformed by DCT, while the Minimize-Matrix-Size Algorithm is applied to the other sub-bands. The proposed algorithm has been tested with images of different sizes within a 3D reconstruction scenario. The algorithm is demonstrated to be more effective than JPEG2000 and JPEG concerning higher compression rates with equivalent perceived quality and the ability to more accurately reconstruct the 3D models.

Item Type:	Article
Additional Information:	Published as Gold open access
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number:	https://doi.org/10.1007/s13319-014-0007-6
Page Range:	17 pages
Depositing User:	Ann Betterton
Date Deposited:	11 Apr 2014 09:24
Last Modified:	18 Mar 2021 14:18
URI:	https://shura.shu.ac.uk/id/eprint/7940

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