Applied sequential-search algorithm for compression-encryption of high-resolution structured light 3D data

SIDDEQ, M and RODRIGUES, Marcos (2015). Applied sequential-search algorithm for compression-encryption of high-resolution structured light 3D data. In: BLASHKI, Katherine and XIAO, Yingcai, (eds.) MCCSIS : Multiconference on Computer Science and Information Systems 2015. IADIS Press, 195-202.

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Abstract

A new image compression algorithm is proposed and demonstrated in the context of structured light 3D reconstruction. Structured light images contain patterns of light, which are captured by the sensor at very high resolution. The algorithm steps involve a two level Discrete Wavelet Transformation (DWT) followed by a Discrete Cosine Transformation (DCT) to generate a DC-Column and an MA-Matrix (Multi-Array Matrix). The MA-Matrix is then partitioned into blocks and a minimization algorithm codes each block followed by arithmetic coding. At decompression stage a new proposed algorithm, Sequential-Search Algorithm (SS-Algorithm) is used to estimate the MA-Matrix. Thereafter, all decompressed DC-Columns are combined with the MA-Matrix followed by inverse DCT and inverse DWT. The effectiveness of the algorithm is demonstrated within a 3D reconstruction scenario from structured light images.

Item Type: Book Section
Additional Information: Proceedings of the International Conferences Interfaces and Human Computer Interaction 2015, Game Entertainment Technologies 2015, and Computer Graphics, Visualisation, Computer Vision and Image Processing 2015, Las Palmas de Gran Canaria, Spain, July 22-24, 2015
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Depositing User: Marcos Rodrigues
Date Deposited: 02 Jun 2015 08:47
Last Modified: 19 Oct 2016 23:34
URI: http://shura.shu.ac.uk/id/eprint/10047

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