Results 1 to 10 of about 20,045 (225)

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).
Amal Altamimi, Belgacem Ben Youssef
doaj   +5 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.
Mohammad Ali Tahouri   +3 more
doaj   +4 more sources

Near-lossless image compression techniques [PDF]

open access: yesJournal of Electronic Imaging, 1998
Predictive and multiresolution techniques for near-lossless image compression based on the criterion of maximum allowable deviation of pixel values are investigated. A procedure for near-lossless compression using a modification of lossless predictive coding techniques to satisfy the specified tolerance is described.
Rashid Ansari   +2 more
openaire   +3 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

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   +3 more
doaj   +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

Virtually Lossless Compression of Astrophysical Images

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
We describe an image compression strategy potentially capable of preserving the scientific quality of astrophysical data, simultaneously allowing a consistent bandwidth reduction to be achieved.
Alparone Luciano   +3 more
doaj   +2 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

Near-lossless Image Compression with Parity Reduction

open access: yes2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES), 2020
In our previous work, we introduced a lossless image compression algorithm (called BWIC_I) based on hierarchical prediction, inversion, and context-adaptive coding techniques.
Basar Koc   +3 more
openaire   +2 more sources

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