Results 41 to 50 of about 937,847 (306)

Hardware architecture for lossless image compression based on context-based modeling and arithmetic coding [PDF]

open access: yes, 2007
In this paper we present a novel hardware architecture for context-based statistical lossless image compression, as part of a dynamically reconfigurable architecture for universal lossless compression.
Canagarajah, CN   +3 more
core   +2 more sources

Lossless Compression with Probabilistic Circuits

open access: yesCoRR, 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
openaire   +3 more sources

An Edge-Fog Computing-Enabled Lossless EEG Data Compression With Epileptic Seizure Detection in IoMT Networks

open access: yesIEEE Internet of Things Journal, 2022
The need to improve smart health systems to monitor the health situation of patients has grown as a result of the spread of epidemic diseases, the ageing of the population, the increase in the number of patients, and the lack of facilities to treat them.
A. K. Idrees   +3 more
semanticscholar   +1 more source

Reversible Integer-to-Integer Wavelet Filter Design for Lossless Image Compression

open access: yesIEEE 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
doaj   +1 more source

Lossless data compression by large models [PDF]

open access: yesNature Machine Intelligence
Data compression is a fundamental technology that enables efficient storage and transmission of information. However, traditional compression methods are approaching their theoretical limits after 80 years of research and development.
Ziguang Li   +9 more
semanticscholar   +1 more source

JPEG2000 Compatible Lossless Coding of Floating-Point Data

open access: yesEURASIP Journal on Image and Video Processing, 2007
Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as ...
Bryan E. Usevitch
doaj   +2 more sources

A New Perspective on Improving the Lossless Compression Efficiency for Initially Acquired Images

open access: yesIEEE Access, 2019
A new lossless compression scheme of compressing the initially-acquired continuous-intensity images with a lossy compression algorithm to obtain higher compression efficiency is proposed. Even if a lossy algorithm is employed, for decoded original images,
Jianyu Lin
doaj   +1 more source

A comparative analysis of the state-of-the-art lossless image compression techniques [PDF]

open access: yesSHS Web of Conferences, 2022
Lossless data reduction is essential for data transmission over the Internet and the storage of data in a digital device when data loss is not permitted. The application of image compression is essential for image storing, image classification, and image
Rahman Atiqur   +2 more
doaj   +1 more source

Accuracy analysis of lossless and lossy disparity map compression

open access: yesAin Shams Engineering Journal, 2022
In this paper, we analysed lossless and lossy compression of disparity (depth) images with low range resolution. For that goal, the well-known publicly available Middlebury dataset is used with stereo image pairs, their disparity ground truths and ...
Saad Merrouche   +3 more
doaj   +1 more source

A Computable Measure of Algorithmic Probability by Finite Approximations with an Application to Integer Sequences [PDF]

open access: yes, 2017
Given the widespread use of lossless compression algorithms to approximate algorithmic (Kolmogorov-Chaitin) complexity, and that lossless compression algorithms fall short at characterizing patterns other than statistical ones not different to entropy ...
Soler-Toscano, Fernando, Zenil, Hector
core   +4 more sources

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