Results 1 to 10 of about 1,215 (153)

Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images [PDF]

open access: yesEntropy
Rapid and continuous advancements in remote sensing technology have resulted in finer resolutions and higher acquisition rates of hyperspectral images (HSIs).
Belgacem Ben Youssef
exaly   +4 more sources

Lossless and Near-Lossless L-Infinite Compression of Depth Video Data [PDF]

open access: yesSensors
The acquisition of depth information sensorial data is critically important in medical applications, such as the monitoring of the elderly or the extraction of human biometrics.
Adrian Munteanu, Munteanu Adrian
exaly   +4 more sources

Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images [PDF]

open access: yesSensors
Recent advancements in hyperspectral imaging have significantly increased the acquired data volume, creating a need for more efficient compression methods for handling the growing storage and transmission demands.
Amal Altamimi, Belgacem Ben Youssef
doaj   +2 more sources

Recursive Least Squares for Near-Lossless Hyperspectral Data Compression

open access: yesApplied Sciences (Switzerland), 2022
The hyperspectral image compression scheme is a trade-off between the limited hardware resources of the on-board platform and the ever-growing resolution of the optical instruments.
Changbin Xue, Yuqi Dai, Xue Changbin
exaly   +3 more sources

Performance Impact of Parameter Tuning on the CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard

open access: yesRemote Sensing, 2019
This article studies the performance impact related to different parameter choices for the new CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression standard.
Ian Blanes   +2 more
exaly   +3 more sources

Non-Uniform Entropy-Constrained L Quantization for Sparse and Irregular Sources [PDF]

open access: yesEntropy
Near-lossless coding schemes traditionally rely on uniform quantization to control the maximum absolute error (L∞ norm) of residual signals, often assuming a parametric model for the source distribution. This paper introduces a novel design framework for
Alin-Adrian Alecu   +3 more
doaj   +2 more sources

Near-lossless image compression by relaxation-labelled prediction

open access: yesSignal Processing, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luciano Alparone   +2 more
exaly   +9 more sources

State-of-the-Art Trends in Data Compression: COMPROMISE Case Study [PDF]

open access: yesEntropy
After 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
doaj   +2 more sources

Secure near-lossless medical image compression and encryption with image-specific post-quantum key management and blockchain-based verification. [PDF]

open access: yesPLoS ONE
Secure image transfer is a critical requirement in telemedicine and Picture Archiving and Communication Systems (PACS), where diagnostic integrity and patient confidentiality must be simultaneously ensured.
Bicky Yadav, Megha Arakeri
doaj   +2 more sources

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