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Wave Atoms for Lossy Compression of Digital Holograms

Authors :
David Blinder
Ayyoub Ahar
Peter Schelkens
Colas Schretter
Tomasz Kozacki
Tobias Birnbaum
Serra-Sagristà, Joan
Bilgin, Ali
Storer, James A.
Marcellin, Michael W.
Electronics and Informatics
Faculty of Engineering
Source :
DCC
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Compression of digital holograms is a major challenge that needs to be resolved to enable the efficient storage, transmission and rendering of macroscopic holographic signals. In this work, we propose to deploy the wave atom transform that has been utilized before for interferometric modalities such as acoustic and seismic signals. This non-adaptive multi- resolution transform has good space-frequency localization and its orthonormal basis is suitable for sparsifying holographic signals. By replacing the CDF 9/7 wavelet transform stage in a JPEG 2000 codec with the proposed wave atom transform, we did assess its suitability for coding complex amplitude wavefronts. Experimental results demonstrate improved rate-distortion performance with respect to JPEG 2000 and H.265/HEVC for a set of computer-generated, diffuse, macroscopic holograms.

Details

Database :
OpenAIRE
Journal :
2019 Data Compression Conference (DCC)
Accession number :
edsair.doi.dedup.....59b02d82f0cda3bf5d65675803f183c9