Fast compression of computer-generated holographic images based on a GPU-accelerated skip-dimension vector quantization method

Y. K. Lam, W. C. Situ, P. W M Tsang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

12 Citations (Scopus)

Abstract

A method for fast and low bit-rate compression of digital holograms based on a new vector quantization (VQ) method known as the skip-dimension VQ (SDVQ) is proposed. Briefly, a complex hologram is converted into a real off-axis hologram, and partitioned into a set of image vectors. The image vectors are passed into a graphic processing unit (GPU), and compressed through SDVQ into a set of code indices considerably smaller in data size than the source hologram. Experimental evaluation reveals that our scheme is capable of compressing a digital hologram to a compression ratio of over 500 times, in approximately 20-22 ms. © 2013 Chinese Optics Letters.
Original languageEnglish
Article number50901
JournalChinese Optics Letters
Volume11
Issue number5
DOIs
Publication statusPublished - May 2013

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