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Journal of King Saud University: Computer and Information Sciences, 2022 With the advancements in modern medical imaging systems, the diagnostic image data has increased exponentially. The future medical applications seek medical imaging devices to be portable. Image quality and real-time processing are of prime importance in
Mohd Rafi Lone
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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 $\boldsymbol{A}\in{\mathbb R}^{n\times m}$.
Giovanni Alberti +4 more
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Lossless data compression of grid-based digital elevation models: A png image format evaluation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 At present, computers, lasers, radars, planes and satellite technologies make possible very fast and accurate topographic data acquisition for the production of maps. However, the problem of managing and manipulating this data efficiently remains.
G. Scarmana
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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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Lossless compression with security constraints [PDF]
2008 IEEE International Symposium on Information Theory, 2008 Proceedings of the 2008 IEEE International Symposium on Information Theory, Toronto, ON, Canada, July 6 - 11 ...
Deniz Gündüz +2 more
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HOW DOES SHANNON’S SOURCE CODING THEOREM FARE IN PREDICTION OF IMAGE COMPRESSION RATIO WITH CURRENT ALGORITHMS? [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Images with large volumes are generated daily with the advent of advanced sensors and platforms (e.g., satellite, unmanned autonomous vehicle) of data acquisition. This incurs issues on the storage, processing, and transmission of images. To address such
X. Cheng, Z. Li, Z. Li
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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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Lossless Compression of Hexahedral Meshes [PDF]
Data Compression Conference (dcc 2008), 2008 Many science and engineering applications use high-resolution unstructured hexahedral meshes to model solid 3D shapes for finite element simulations. These simulations frequently dump the mesh and associated fields to disk for subsequent analysis, which involves the transfer of huge volumes of data.
Peter Lindstrom 0001, Martin Isenburg
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Reversible Integer-to-Integer Wavelet Filter Design for Lossless Image Compression
IEEE Access, 2020 In this paper, factors that influence the lossless compression efficiency of reversible integer-tointeger (ITI) wavelet filters are presented. It is observed that there is a converged region for the bitrate of the compressed subbands.
Jianyu Lin
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Lossless Compression with Probabilistic Circuits
CoRR, 2021 Despite extensive progress on image generation, common deep generative model architectures are not easily applied to lossless compression. For example, VAEs suffer from a compression cost overhead due to their latent variables. This overhead can only be partially eliminated with elaborate schemes such as bits-back coding, often resulting in poor single-
Anji Liu +2 more
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