scholarly journals A Perceptually Optimized Embedded Image Coder and Quality Assessor Based Both on Visual Tools

2019 ◽  
Vol 4 (4) ◽  
pp. 230-238 ◽  
Author(s):  
Abderrahim. Bajit ◽  
Mohammed. Najid ◽  
Ahmed. Tamtaoui ◽  
Abdellah. Lassioui
Keyword(s):  
Image Coder ◽  
Embedded Image

A DCT-based embedded image coder

1996 ◽  
Vol 3 (11) ◽  
pp. 289-290 ◽  
Author(s):  
Zixiang Xiong ◽  
O.G. Guleryuz ◽  
M.T. Orchard
Keyword(s):  
Image Coder ◽  
Embedded Image

Design of embedded acoustic image acquisition system for wireless sensor network

2021 ◽  
pp. 1-8
Author(s):  
Xiaoping Huang ◽  
Fangyi Wen ◽  
Zhongxin Wei
Keyword(s):  
Transmission Rate ◽  
Image Acquisition ◽  
Transmission System ◽  
Video Data ◽  
Wireless Transmission ◽  
Acquisition System ◽  
Wireless Sensor ◽  
Acoustic Image ◽  
Image Acquisition System ◽  
Embedded Image

In recent years, with the development of communication technology, embedded computing technology and sensor technology, it has become increasingly mature. Micro sensors with sensing, computing and communication capabilities have appeared in large numbers and developed rapidly, making wireless sensor networks widely used. People put forward higher requirements for the accuracy, reliability and flexibility of the image acquisition system. The image transmission system using analog technology not only has low image quality, but also has a serious waste of system resources, is not easy to form a complex network structure, and has poor functional scalability. In view of the actual needs of the current image acquisition and wireless transmission system, based on embedded technology, image acquisition, processing technology and network transmission technology, this paper proposes and designs a low-cost, high-reliability embedded image acquisition and wireless transmission system. Experimental tests show that this system has reasonable design, high video coding efficiency, good image continuity, stable operation, and basically realizes the display, storage and playback functions of the collected video data. Improve the transmission rate of the system and reduce the distortion caused by compression in terms of image compression. At the same time, it supports multiple image resolutions, frame rate options and multiple video formats, and the system’s transmission rate can adapt to the state of the network. This design fulfills the basic requirements of an embedded image acquisition system based on network technology, and provides a good foundation for the next development of a gigabit network-based image acquisition system.

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