Spatial bandwidth-optimized compression of image plane off-axis holograms with image and video codecs

Abstract

Image plane off-axis holograms (IP-OAH) are the most common data captured in digital holographic microscopy and tomography. Due to increasing storage and data transmission requirements, lossy compression of such holograms has been subject of earlier investigations. However, hologram compression can not be allowed to hinder the metrological capabilities of the measurement technique itself. In this work, we present lossy and lossless IP-OAH compression approaches that are based on conventional compression codecs, but optimized with regard to bandwidth of the signal. Both approaches outperform respective conventional codecs, while the lossy approach is shown to uphold the accuracy of holographic phase measurements.

Deep-Learning Computational Holography: A Review

“…Data compression is essential for real-time hologram transmission and wide-viewing-angle holographic displays, which require holograms with large spatial bandwidth products. Existing compression techniques [e.g., JPEG, JPEG 2000, and highefficiency video coding (HEVC)] and distinctive compression techniques have been proposed (Blinder et al, 2014;Birnbaum et al, 2019;Stepien et al, 2020), which aim to take the distinctive signal properties of digital holograms into account. Compression of hologram data is not easy because holograms have different statistical properties from general natural images, so standard image and video codecs will achieve sub-optimal performance.…”

“…Data compression is essential for real-time hologram transmission and wide-viewing-angle holographic displays, which require holograms with a large spatial bandwidth product (Blinder et al, 2019). Hologram compression using existing data compression methods, such as JPEG and JPEG2000, and original compression methods for hologram have been investigated (Blinder et al, 2014;Birnbaum et al, 2019;Stepien et al, 2020) and recently the JPEG committee (ISO/ IEC JTC 1/SC 29/WG 1) initated the standardization of compression technology for holographic data.…”

Compression strategies for digital holograms in biomedical and multimedia applications

“…This is acceptable for applications that only require intensity reconstructions, such as for the three-dimensional localization of particles 29 . To obtain quantitative phase or full-complex reconstructions from an on-axis configuration, the concept of phase shifting digital holography (PSDH) can be used 30 . PSDH requires capturing at least three phase shifted holograms (although more provide robustness) of the same object wavefront.…”

Zero-order-removal off-axis digital holographic reconstruction using different beam-ratio holographic recordings

“…11 The spatial-frequency bandwidth can also be improved using compression codecs or convolution neural networks. 12,13 In contrast, the spectrum filtering bandwidth in off-axis digital holographic reconstruction is also limited because of the existence of the zero-order spectrum. So, another major way to enlarge filtering bandwidth is achieved by eliminating or suppressing the zeroorder spectrum.…”

“…By multiplexing the off-axis angles in holographic recordings, the spatial-spectrum bandwidth of the hologram can be utilized efficiently 11 . The spatial-frequency bandwidth can also be improved using compression codecs or convolution neural networks 12 , 13 . In contrast, the spectrum filtering bandwidth in off-axis digital holographic reconstruction is also limited because of the existence of the zero-order spectrum.…”