Title:	Improved Lossless Depth Image Compression
Authors:	Fischer, Roland Dittmann, Philipp Schröder, Christoph Zachmann, Gabriel
Citation:	Journal of WSCG. 2020, vol. 28, no. 1-2, p.168-176.
Issue Date:	2020
Publisher:	Václav Skala - UNION Agency
Document type:	článek article
URI:	http://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf http://hdl.handle.net/11025/38439
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line)
Keywords:	bezeztrátová komprese;hloubková komprese obrazu;streamování RGB-D;Azure Kinect
Keywords in different language:	lossless Compression;Depth Image Compression;RGB-D Streaming;Azure Kinect
Abstract in different language:	Since RGB-D sensors became massively popular and are used in a wide range of applications, depth data compression became an important research topic. Live-streaming of depth data requires quick compression and decompression. Accurate preservation of information is crucial in order to prevent geometric distortions. Custom algorithms are needed considering the unique characteristics of depth images. We propose a real-time, lossless algorithm which can achieve significantly higher compression ratios than RVL. The core elements are an adaptive span-wise intra-image prediction, and parallelization. Additionally, we extend the algorithm by inter-frame difference computation and evaluate the performance regarding different conditions. Lastly, the compression ratio can be further increased by a second encoder, circumventing the lower limit of four-bit per valid pixel of the original RVL algorithm.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	Volume 28, Number 1-2 (2020)

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