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With the advent of modern computing and imaging technologies, digital holography is becoming widespread in various scientific disciplines such as microscopy, interferometry, surface shape measurements, vibration analysis, data encoding, and certification. Therefore, designing an efficient data representation technology is of particular importance. Off-axis holograms have very different signal properties with respect to regular imagery, because they represent a recorded interference pattern with its energy biased toward the high-frequency bands. This causes traditional images' coders, which assume an underlying 1/f(2) power spectral density distribution, to perform suboptimally for this type of imagery. We propose a JPEG 2000-based codec framework that provides a generic architecture suitable for the compression of many types of off-axis holograms. This framework has a JPEG 2000 codec at its core, extended with (1) fully arbitrary wavelet decomposition styles and (2) directional wavelet transforms. Using this codec, we report significant improvements in coding performance for off-axis holography relative to the conventional JPEG 2000 standard, with Bjontegaard delta-peak signal-to-noise ratio improvements ranging from 1.3 to 11.6 dB for lossy compression in the 0.125 to 2.00 bpp range and bit-rate reductions of up to 1.6 bpp for lossless compression. c The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
Original languageEnglish
Article number123102
Number of pages14
JournalOptical Engineering
Volume53
Issue number12
DOIs
Publication statusPublished - Dec 2014

    Research areas

  • ZERO-ORDER TERM, TRANSFORM, ELIMINATION, IMAGE COMPRESSION, Holography, off-axis, JPEG 2000, wavelets, packet decompositions, directional transform, image compression, microscopy

ID: 5244186