Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

Tao, Dan; Yang, Guangwei; Chen, Houjin; Wu, Hao; Liu, Pingping

doi:10.1049/cje.2016.03.014

Cited by 13 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By classifying different data reception response events, they can provide different responses to data packets and ensure that image packets can be transmitted quickly even with the maximum number of retransmissions. His method requires too high a requirement in use, and it is difficult to satisfy [3]. Nie proposed a 128-level CMOS time delay integration (TDI) image sensor with an on-chip digital accumulator.…”

Section: Introductionmentioning

confidence: 99%

Retracted: Explosive Growth of Image Sensors in Smart Government Technology and Economic Scale

Zhu

Zhou³

et al. 2024

IEEE Access

View full text Add to dashboard Cite

CMOS image sensor is a rapidly developing image sensor product in the past decade. Relying on the advantages of process compatibility with standard CMOS process, CMOS image sensor integrates analog photoelectric photosensitive circuit and digital signal processing circuit to become a small and powerful system on chip. This article mainly studies the explosive growth of image sensors in smart government technology and economic scale. The main purpose of this article is to study the technical application of image sensors, reduce the administrative cost of social governance, improve the level of government governance, benefit the public, and realize the requirements of smart government affairs and rapid economic development of the city. This study tested the static performance of the analog-to-digital conversion circuit by inputting a limited number of sampling points, and its integral nonlinearity and differential nonlinearity were both less than 1LSB. The bandgap reference circuit provides a reference level for the entire system. It uses two PNP-type bipolar transistors parasitic in the CMOS process to achieve a temperature and voltage-independent bandgap reference voltage through the feedback of the operational amplifier. It is ideal for use In the case of resistance simulation, its accuracy reaches 16.6ppm. The scanning method of the pixel array uses multi-sampling technology to increase the dynamic range of the sensor by N 2 times. The correlated sub-sampling technology eliminates the fixed pattern noise between pixel units. The use of pipelined analog-to-digital converters can achieve good resolution, speed and area compromise.Through the realization and simulation of transistor-level circuits, the performance of each part of the system meets the requirements of design and application.

show abstract

Section: Introductionmentioning

confidence: 99%

Retracted: Explosive Growth of Image Sensors in Smart Government Technology and Economic Scale

Zhu

Zhou³

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Secondly, some researchers are committed to emphasizing the role of new media technology in promoting media events. Thirdly, some researchers have explored the relationship between new media and media events in China [ 1 ]. The emergence of image production and communication technology makes image-based TV media enter people's daily life, and paper media dominated by text and printing technology has been strongly impacted [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Local Media Image Propagation Algorithm and Its Governance in the Age of Artificial Intelligence

Guo

Jia

2022

Applied Bionics and Biomechanics

View full text Add to dashboard Cite

With a large number of images provided by TV and other media flowing into the Internet and the reduction of technical barriers, images have not only become a daily practice for people to record their lives and communicate their behaviors but also become an important means for the public to express their discourse in the cyberspace. Therefore, it is of great significance to analyze the image propagation algorithm using artificial intelligence. This paper mainly studies the algorithm analysis and governance of local media image propagation in the era of artificial intelligence. In this paper, the media is the research object, with its daily dissemination of video works as the research text, in order to discover the ethical problems in its dissemination activities as the purpose, integrating disciplinary knowledge to analyze the ethical problems in this art form, and trying to find out the fundamental measures to solve the problem. The advantages and disadvantages of the video recommendation intelligent algorithm based on the BP neural network are analyzed. By comparing different algorithms, it can be seen that the video recommendation accuracy of the BP neural network algorithm based on swarm optimization (FEBP) is 15.8% higher than that of the traditional BP neural network algorithm. These intelligent algorithms are added into the image transmission system, in order to achieve the goal of improving the image transmission and recommendation effect.

show abstract

“…Change coding is also proposed using a bilevel image to only transmit the RoI in the change frame. A scheme is proposed for adding a two-byte counter with every data packet to minimize lost packet retransmissions in image sensor networks [33]. This helps to reduce the number of lost, repeated, and out of order packets.…”

Section: Related Workmentioning

confidence: 99%

Image subset communication for resource-constrained applications in wireless sensor networks

Nazir¹,

Alzubi

Kaleem

et al. 2020

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

JPEG is the most widely used image compression standard for sensing, medical, and security applications. JPEG provides a high degree of compression but field devices relying on battery power must further economize on data transmissions to prolong deployment duration with particular use cases in wireless sensor networks. Transmitting a subset of image data could potentially enhance the battery life of power-constrained devices and also meet the application requirements to identify the objects within an image. Depending on an application's needs, after the first selected subset is received at the base station, further transmissions of the image data for successive refinements can also be requested. Needs for such progressive refinements exist in applications including tele-medicine, security, and surveillance, where an initial assessment could govern further exploration of only a small region. We propose a scheme for selecting minimum information for a coarser reconstruction by transmitting only the DC coefficients as the first or base layer. This initial layer of information could on request be augmented by transmitting either more data representing an entire image or a selected region of interest. We compare our results with those of other power economization and progressive communications techniques. The proposed scheme offers significant advantages for a range of application scenarios under resource constraints.

show abstract

Efficient Image Transmission Schemes over Zigbee‐Based Image Sensor Networks

Cited by 13 publications

References 8 publications

Retracted: Explosive Growth of Image Sensors in Smart Government Technology and Economic Scale

Retracted: Explosive Growth of Image Sensors in Smart Government Technology and Economic Scale

Local Media Image Propagation Algorithm and Its Governance in the Age of Artificial Intelligence

Image subset communication for resource-constrained applications in wireless sensor networks

Contact Info

Product

Resources

About