Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images [PDF]
EntropyRapid 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 +4 more sources
Lossless and Near-Lossless L-Infinite Compression of Depth Video Data [PDF]
SensorsThe 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
Lossless and Near-Lossless Image Compression Using Generalized Multi-Context Linear and Nonlinear Prediction [PDF]
EntropyThe paper proposes the Multi-ctx2 method, which enables image compression in lossless and near-lossless modes. It employs a generalized multi-context division method in the prediction stage, which is more efficient than other fast prediction methods ...
Grzegorz Ulacha, Mirosław Łazoryszczak
doaj +2 more sources
Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images [PDF]
SensorsRecent 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
Remote 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]
EntropyNear-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
Pixel shift-based reversible steganography for privacy-preserving medical images [PDF]
Frontiers in MedicineSteganography plays a critical role in preserving the privacy of medical images by protecting sensitive patient information without compromising image quality or diagnostic utility.
Xiaofeng Huang, Bing Zhang, Xishun Zhu
doaj +2 more sources
Secure near-lossless medical image compression and encryption with image-specific post-quantum key management and blockchain-based verification. [PDF]
PLoS ONESecure 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
Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction. [PDF]
J Digit Imaging, 2016 Song X, Huang Q, Chang S, He J, Wang H.
europepmc +2 more sources
LOCO-ANS: An Optimization of JPEG-LS Using an Efficient and Low-Complexity Coder Based on ANS
IEEE Access, 2021 Near-lossless compression is a generalization of lossless compression, where the codec user is able to set the maximum absolute difference (the error tolerance) between the values of an original pixel and the decoded one.
Tobias Alonso +2 more
doaj +1 more source