Results 21 to 30 of about 1,866 (211)

Reversible data hiding and authentication scheme for encrypted image based on prediction error compression [PDF]

open access: yesScientific Reports
In the most existing reversible data hiding schemes for encrypted images, cover images can be reversibly recovered, but the integrity of image content cannot be guaranteed.
Fang Ren   +4 more
doaj   +2 more sources

An efficient secure data compression technique based on chaos and adaptive Huffman coding [PDF]

open access: yesPeer-to-Peer Networking and Applications, 2020
AbstractData stored in physical storage or transferred over a communication channel includes substantial redundancy. Compression techniques cut down the data redundancy to reduce space and communication time. Nevertheless, compression techniques lack proper security measures, e.g., secret key control, leaving the data susceptible to attack.
Muhammad Usama   +4 more
openaire   +5 more sources

Pemampatan Citra Keabuan dengan Algoritma Adaptive Huffman dan LZW

open access: yesJurnal Teknik ITS, 2016
Perkembangan data digital cukuplah pesat, mulai dari ukuran hingga jenis berkas. Untuk mengimbangi hal tersebut maka perlu ada-nya algoritma pemampatan guna mengurangi ukuran penggunaan media penyimpanan. Salah satu algoritma yang cukup lama ada adalah Adaptive Huffman, dan serta mengkombinasikannya dengan LZW, maka hasil pemampatan yang didapat akan ...
Djuned Fernando Djusdek   +2 more
openaire   +4 more sources

Pemampatan Citra Keabuan dengan Algoritma Adaptive Huffman dan LZW

open access: yesJurnal Teknik ITS, 2017
Perkembangan data digital cukuplah pesat, mulai dari ukuran hingga jenis berkas. Untuk mengimbangi hal tersebut maka perlu ada-nya algoritma pemampatan guna mengurangi ukuran penggunaan media penyimpanan.
Djuned Fernando Djusdek   +2 more
doaj   +1 more source

Design of Adaptive Compression Algorithm Elias Delta Code and Huffman

open access: yes, 2018
Compression aims to reduce data before storing or moving it into storage media. Huffman and Elias Delta Code are two algorithms used for the compression process in this research. Data compression with both algorithms is used to compress text files. These two algorithms have the same way of working.
Andysah Putera Utama Siahaan
openaire   +3 more sources

Probability updating-based adaptive hybrid coding

open access: yesTongxin xuebao, 2008
A probability updating mechanism was proposed for entropy coding. To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of ...
doaj   +3 more sources

The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities

open access: yesSensors, 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 ...
Ammar Nasif   +2 more
doaj   +1 more source

A lossless compression method for logging data while drilling

open access: yesSystems Science & Control Engineering, 2021
Mud pulse transmission technology is widely used in logging while drilling (LWD), while its low data transmission efficiency has restricted the development of LWD technology for a long time. In order to improve the equivalent data transmission efficiency
Shan Song   +5 more
doaj   +1 more source

The Improvised GZIP, A Technique for Real Time Lossless Data Compression [PDF]

open access: yesEAI Endorsed Transactions on Context-aware Systems and Applications, 2019
Whenever it comes to data processing, the user always faces two major constraints. One is storage capacity and second is bandwidth. These two resources must be efficiently utilized by compressing the data.
Ahmad Shah, Muhammad Sethi
doaj   +1 more source

Sequential Adaptive Compressed Sampling via Huffman Codes [PDF]

open access: yesSampling Theory in Signal and Image Processing, 2011
There are two main approaches in compressed sensing: the geometric approach and the combinatorial approach. In this paper we introduce an information theoretic approach and use results from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a sparse signal.
Akram Aldroubi   +2 more
openaire   +2 more sources

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