Results 51 to 60 of about 28,283 (177)

IMPROVING EFFICIENCY IN IMAGE ENCRYPTION AND COMPRESSION USING PERMUTATIONS & PREDICTIONS

ICTACT Journal on Image and Video Processing, 2017
Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission.
S Shunmugan, P Arockia Jansi Rani
doaj   +1 more source

An Efficient Lossless Compression Method for Periodic Signals Based on Adaptive Dictionary Predictive Coding

Applied Sciences, 2020
This paper reports on an efficient lossless compression method for periodic signals based on adaptive dictionary predictive coding. Some previous methods for data compression, such as difference pulse coding (DPCM), discrete cosine transform (DCT ...
Shaofei Dai, Wenbo Liu, Zhengyi Wang, Kaiyu Li, Pengfei Zhu, Ping Wang   +5 more
doaj   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

A Multiresolution Vector Data Compression Algorithm Based on Space Division

ISPRS International Journal of Geo-Information, 2020
Vector data compression can significantly improve efficiency of geospatial data management, visualization and data transmission over internet. Existing compression methods are either based on information theory for lossless compression mainly or based on
Dongge Liu, Tao Wang, Xiaojuan Li, Yeqing Ni, Yanping Li, Zhao Jin   +5 more
doaj   +1 more source

Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data

Sensors, 2022
Classical lossless compression algorithm highly relies on artificially designed encoding and quantification strategies for general purposes. With the rapid development of deep learning, data-driven methods based on the neural network can learn features ...
Zhoujun Ma, Hong Zhu, Zhuohao He, Yue Lu, Fuyuan Song   +4 more
doaj   +1 more source

Lossless quantum data compression and variable-length coding

, 2002
In order to compress quantum messages without loss of information it is necessary to allow the length of the encoded messages to vary. We develop a general framework for variable-length quantum messages in close analogy to the classical case and show ...
B. Schumacher, C. E. Shannon, C. E. Shannon, H. Barnum, I. L. Chuang, Kim Bostroem, P. Hausladen, R. Jozsa, Timo Felbinger   +8 more
core   +1 more source

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

, 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, Chen, X, Nunez-Yanez, JL, Vitulli, Raffaele   +3 more
core   +2 more sources

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

A Tile-Based Multi-Core Hardware Architecture for Lossless Image Compression and Decompression

Applied Sciences
Lossless image compression plays a vital role in improving data storage and transmission efficiency without compromising data integrity. However, the throughput of current lossless compression and decompression systems remains limited and is unable to ...
Xufeng Li, Li Zhou, Yan Zhu
doaj   +1 more source

Toroidal‐Dipole‐Driven Polarization‐Selective Quasi‐BICs Enabling Wide‐Angle Near‐Field Image Display in Dielectric Metasurfaces

Advanced Physics Research, EarlyView.
This study presents toroidal‐dipole (TD)‐driven polarisation‐selective quasi‐bound states in the continuum (quasi‐BICs) in all‐dielectric metasurfaces, enabling transverse magnetic (TM)‐selective excitation with ultrahigh quality factors and wide‐angle‐stable polarisation‐dependent near‐field imaging.
Xueheng Yan, Dewang Huo, Haiyang Huang, Yang Jiao, Wei Li, Zengfeng Di   +5 more
wiley   +1 more source