Abstract
We describe a physics-based data compression method inspired by the photonic time stretch wherein information-rich portions of the data are dilated in a process that emulates the effect of group velocity dispersion on temporal signals. With this coding operation, the data can be downsampled at a lower rate than without it. In contrast to previous implementation of the warped stretch compression, here the decoding can be performed without the need of phase recovery. We present rate-distortion analysis and show improvement in PSNR compared to compression via uniform downsampling.
Highlights
Digital image compression is required for practical storage and transfer of digital images
Photonic time stretch has led to the discovery of optical rogue waves [20], the creation of a new imaging modality known as the time stretch camera [21], which has enabled detection of cancer cells in blood with record sensitivity [11] and a portfolio of other fast real-time measurements, such as an ultrafast vibrometer [22], the discovery of soliton explosions [23] and the observation of relativistic electron structures [24]
We have formulated a new type of digital image compression inspired by the recently demonstrated analog optical image compression enabled by warped stretch transform [36]
Summary
Digital image compression is required for practical storage and transfer of digital images. @FðoÞ @o to slow down fast analog temporal waveforms so they can be digitized in real time [16,17,18,19]. While time stretch slows down the fast time series so it can be digitized in real-time, it conserves the time-bandwidth product. It has been shown that this product can be reduced or expanded for the information carried by the signal envelope, leading to time-bandwidth engineering [25]. This in turn has led to the concept of the “information gearbox”, as well as photonic hardware accelerators, for real-time data acquisition, analytics and high performance computing [26]
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