Image transmission efficiency improvement in a personal mobile channel

2002 ◽  
Author(s):  
J. Horikoshi ◽  
K. Sekiguchi
Keyword(s):  
Image Transmission ◽  
Transmission Efficiency ◽  
Efficiency Improvement ◽  
Mobile Channel

scholarly journals Miniaturization and Transmission Efficiency Improvement of Resonant Aperture Structure

2017 ◽  
Vol 28 (6) ◽  
pp. 470-477
Author(s):  
Jong-Gyeong Yoo ◽  
Junho Yeo ◽  
Ji-Whan Ko ◽  
Byung-Mun Kim ◽  
Young-Ki Cho
Keyword(s):  
Transmission Efficiency ◽  
Efficiency Improvement

The Optimization Scheme of Image Transmission on Remote Desktop Monitoring System

2014 ◽  
Vol 644-650 ◽  
pp. 2489-2492
Author(s):  
Xiao Hu Yin ◽  
Xin Ru Wang
Keyword(s):  
Operating System ◽  
Control System ◽  
Remote Control ◽  
Image Transmission ◽  
Transmission Efficiency ◽  
Main Function ◽  
Optimization Scheme ◽  
Remote Control System ◽  
Function Modules ◽  
Android Operating System

The remote control system platform and the main function modules are studied and analyzed based on Android operating system. The problem of image transmission of remote control on Android equipment is solved by means of the analysis and comparison of several methods of screenshots and image compression, such as ImageIO compression and JPEGEncoder compression. Finally, we got the conclusion that the transmission efficiency can be increased by the screenshots with robot class and JPEGEncoder compression.

scholarly journals Comparison of the LoRa Image Transmission Efficiency Based on Different Encoding Methods

2020 ◽  
Vol 10 (1) ◽  
pp. 1-4
Author(s):  
Ching-Chuan Wei ◽  
◽  
Pei-Yi Su ◽  
Shu-Ting Chen ◽  
◽  
...  
Keyword(s):  
Image Transmission ◽  
Transmission Efficiency

scholarly journals Secure and Efficient Image Transmission Scheme for Smart Cities Using Sparse Signal Transformation and Parallel Compressive Sensing

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hui Wang ◽  
Yong Wu ◽  
Huantian Xie
Keyword(s):  
Compressive Sensing ◽  
Smart Cities ◽  
Image Transmission ◽  
Transmission Efficiency ◽  
Sparse Signal ◽  
Transmission Scheme ◽  
Signal Transformation ◽  
Smart Healthcare ◽  
Wide Range ◽  
And Diffusion

With the evolution of smart cities, images are used in a wide range of services such as smart healthcare and surveillance. How to ensure that images are transmitted and shared securely is of paramount importance for smart cities. To this end, a secure and efficient scheme for image transmission is proposed in this paper, which uses sparse signal transformation (SST) and parallel compressive sensing (CS). The primary employed techniques are sparse signal transformation (SST), parallel CS, and diffusion-permutation operation. The compression performance is achieved by parallel CS, whereas the encryption performance is derived from SST, parallel CS, and diffusion-permutation procedure. SST is exploited to change energy information before CS sampling and incorporated into diffusion-permutation framework, which not only balances the security and the efficiency of the algorithm, but also improves the transmission efficiency of the cipher image. We introduce chaotic system to generate the measurement matrix, SST matrix, and diffusion matrix to improve security. Furthermore, numerical simulation results and theoretical analyses confirm the security performances and effectiveness of the proposed scheme.

scholarly journals Image Parallel Encryption Technology Based on Sequence Generator and Chaotic Measurement Matrix

Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 76 ◽  
Author(s):  
Jiayin Yu ◽  
Shiyu Guo ◽  
Xiaomeng Song ◽  
Yaqin Xie ◽  
Erfu Wang
Keyword(s):  
Compressed Sensing ◽  
Circuit Simulation ◽  
Sampling Rate ◽  
Image Transmission ◽  
Transmission Efficiency ◽  
Data Sampling ◽  
Measurement Matrix ◽  
Chaotic Cryptography ◽  
Parallel Mode ◽  
Sequence Generator

In this paper, a new image encryption transmission algorithm based on the parallel mode is proposed. This algorithm aims to improve information transmission efficiency and security based on existing hardware conditions. To improve efficiency, this paper adopts the method of parallel compressed sensing to realize image transmission. Compressed sensing can perform data sampling and compression at a rate much lower than the Nyquist sampling rate. To enhance security, this algorithm combines a sequence signal generator with chaotic cryptography. The initial sensitivity of chaos, used in a measurement matrix, makes it possible to improve the security of an encryption algorithm. The cryptographic characteristics of chaotic signals can be fully utilized by the flexible digital logic circuit. Simulation experiments and analyses show that the algorithm achieves the goal of improving transmission efficiency and has the capacity to resist illegal attacks.

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