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
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The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities. [PDF]
Sensors (Basel), 2021 Networking is crucial for smart city projects nowadays, as it offers an environment where people and things are connected. This paper presents a chronology of factors on the development of smart cities, including IoT technologies as network ...
Nasif A, Othman ZA, Sani NS.
europepmc +2 more sources
A lossless compression method for multi-component medical images based on big data mining. [PDF]
Sci Rep, 2021 In disease diagnosis, medical image plays an important part. Its lossless compression is pretty critical, which directly determines the requirement of local storage space and communication bandwidth of remote medical systems, so as to help the diagnosis ...
Xin G, Fan P.
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Lossless linear analog compression [PDF]
2016 IEEE International Symposium on Information Theory (ISIT), 2016 We establish the fundamental limits of lossless linear analog compression by considering the recovery of random vectors ${\boldsymbol{\mathsf{x}}}\in{\mathbb R}^m$ from the noiseless linear measurements ${\boldsymbol{\mathsf{y}}}=\boldsymbol{A}{\boldsymbol{\mathsf{x}}}$ with measurement matrix $\boldsymbol{A}\in{\mathbb R}^{n\times m}$.
ALBERTI, GIOVANNI +4 more
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Lossless Analog Compression [PDF]
IEEE Transactions on Information Theory, 2019 We establish the fundamental limits of lossless analog compression by considering the recovery of arbitrary m-dimensional real random vectors x from the noiseless linear measurements y=Ax with n x m measurement matrix A. Our theory is inspired by the groundbreaking work of Wu and Verdu (2010) on almost lossless analog compression, but applies to the ...
Giovanni Alberti +4 more
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Centrifuger: lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification. [PDF]
Genome BiolCentrifuger is an efficient taxonomic classification method that compares sequencing reads against a microbial genome database. In Centrifuger, the Burrows-Wheeler transformed genome sequences are losslessly compressed using a novel scheme called run ...
Song L, Langmead B.
europepmc +2 more sources
Lossless Image Compression by Joint Prediction of Pixel and Context Using Duplex Neural Networks
IEEE Access, 2021 This paper presents a new lossless image compression method based on the learning of pixel values and contexts through multilayer perceptrons (MLPs). The prediction errors and contexts obtained by MLPs are forwarded to adaptive arithmetic encoders, like ...
Hochang Rhee +3 more
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Joint Lossless Image Compression and Encryption Scheme Based on CALIC and Hyperchaotic System
Entropy, 2021 For efficiency and security of image transmission and storage, the joint image compression and encryption method that performs compression and encryption in a single step is a promising solution due to better security.
Miao Zhang +3 more
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Subjective Assessment of Objective Image Quality Metrics Range Guaranteeing Visually Lossless Compression [PDF]
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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Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering and scientific research.
Yuanchao Bai +5 more
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