Results 1 to 10 of about 411 (87)
Competitive Segmentation Performance on Near-Lossless and Lossy Compressed Remote Sensing Images [PDF]
IEEE Geoscience and Remote Sensing Letters, 2020 Image segmentation lies at the heart of multiple image processing chains, and achieving accurate segmentation is of utmost importance as it impacts later processing. Image segmentation has recently gained interest in the field of remote sensing, mostly due to the widespread availability of remote sensing data.
Joaquin Garcia-Sobrino +2 more
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State-of-the-Art Trends in Data Compression: COMPROMISE Case Study [PDF]
EntropyAfter a boom that coincided with the advent of the internet, digital cameras, digital video and audio storage and playback devices, the research on data compression has rested on its laurels for a quarter of a century.
David Podgorelec +3 more
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Context-Aware Lossless and Lossy Compression of Radio Frequency Signals [PDF]
Sensors, 2023 We propose an algorithm based on linear prediction that can perform both the lossless and near-lossless compression of RF signals. The proposed algorithm is coupled with two signal detection methods to determine the presence of relevant signals and apply
Aniol Martí +3 more
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Epipolar Plane Image-Based Lossless and Near-Lossless Light Field Compression
IEEE Access, 2021 Recent advances in the computer technology has enabled many theoretical ideas in computer vision to become practical also within camera technology. Light field technology aims at replacing the traditional camera design by acquiring the intensity of light
M. Umair Mukati, Soren Forchhammer
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FCLQC: fast and concurrent lossless quality scores compressor
BMC Bioinformatics, 2021 Background Advances in sequencing technology have drastically reduced sequencing costs. As a result, the amount of sequencing data increases explosively.
Minhyeok Cho, Albert No
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Sensors, 2023 The usage of media such as images and videos has been extensively increased in recent years. It has become impractical to store images and videos acquired by camera sensors in their raw form due to their huge storage size.
Afnan +5 more
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An FPGA Accelerator for Real-Time Lossy Compression of Hyperspectral Images
Remote Sensing, 2020 Hyperspectral images offer great possibilities for remote studies, but can be difficult to manage due to their size. Compression helps with storage and transmission, and many efforts have been made towards standardizing compression algorithms, especially
Daniel Báscones +2 more
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Quantum Coarse Graining for Extreme Dimension Reduction in Modeling Stochastic Temporal Dynamics
PRX Quantum, 2021 Stochastic modeling of complex systems plays an essential, yet often computationally intensive, role across the quantitative sciences. Recent advances in quantum information processing have elucidated the potential for quantum simulators to exhibit ...
Thomas J. Elliott
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, 2021 We propose a novel joint lossy image and residual compression framework for learning $\ell_\infty$-constrained near-lossless image compression. Specifically, we obtain a lossy reconstruction of the raw image through lossy image compression and uniformly quantize the corresponding residual to satisfy a given tight $\ell_\infty$ error bound. Suppose that
Bai, Yuanchao +4 more
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Hyperspectral IASI L1C Data Compression
Sensors, 2017 The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp satellite series, represents a significant step forward in atmospheric forecast and weather understanding.
Joaquín García-Sobrino +2 more
doaj +1 more source