Design and performance analysis of a zonal DCT-based image encoder for Wireless Camera Sensor Networks

Kaddachi, Med Lassaad; Soudani, Adel; Lecuire, Vincent; Makkaoui, Leila; Moureaux, Jean-Marie; Torki, K.

doi:10.1016/j.mejo.2012.06.010

Cited by 12 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One well-known tool used in the image compression done in the resource-constrained devices is so-called low complexity Discrete Cosine Transform (DCT) (Ahmed, Natarajan, & Rao, 1974;Amutha, 2013;Bayer & Cintra, 2012;Chandra & Chakrabarty, 2001;da Silveira, Oliveira, Bayer, Cintra, & Madanayake, 2017;Kaddachi et al, 2012;Pearlman, Islam, Nagaraj, & Said, 2004;Pennebaker, Mitchell, Langdon, & Arps, 1988), which was initially developed to be used in very resource-constrained platforms, for example low power processors in the WSNs. Certain applications involve real-time (Akter, Reaz, Mohd-Yasin, & Choong, 2008;Callahan, 1995) image compression performed directly on-board (Yu, Vladimirova, & Sweeting, 2009) used in several missions to meet the specialized needs of (for example) deep-space applications while achieving state-of-the-art compression effectiveness.…”

Section: Related Workmentioning

confidence: 99%

Image compression in resource-constrained eye tracking devices

Morozkin

Swynghedauw²,

Trocan

2019

Journal of Information and Telecommunication

View full text Add to dashboard Cite

Resource-constrained embedded devices, operating with images, are becoming increasingly common. Examples include remote low-power smart sensors, wireless sensor networks, autonomous cameras, eye tracking devices, etc. The principal requirements of such devices are the operation in real time, low power, low heat as well as low MIPS. These requirements can be fulfilled with the use of approximated version of original image processing algorithms. The EyeDee™ embedded eye tracking solution (developed by SuriCog) is the world's first innovative solution using the eye as a real-time mobile digital cursor, while maintaining full mobility. Being an example of resourceconstrained embedded device, the system consists of a wearable device (Weetsy™ frame) capturing images on the human's eye and an embedded pre-processing device (Weetsy™ preprocessing board) sending these eye images over a transmission medium (wire/wireless transmission) to a remote processing unit for the further gaze reconstruction. This paper is aimed at introducing image compression approaches in the resourceconstrained devices in general and some of their implementation in the Weetsy™ pre-processing board in particular.

show abstract

Section: Related Workmentioning

confidence: 99%

Image compression in resource-constrained eye tracking devices

Morozkin

Swynghedauw²,

Trocan

2019

Journal of Information and Telecommunication

View full text Add to dashboard Cite

show abstract

“…(5)- (7). In (5), we replace the N=2 À k 2N πangle rotating with À kπ=2Nangle rotating followed by one butterfly operation.…”

Section: Cordic Based Fast Algorithm For Power-of-two Point Dct/idctmentioning

confidence: 99%

“…The existed fast algorithms can be classified into two categories: fixed-length (usually 8-point) DCT and variable-length DCT. Most of the fixedlength DCT algorithms aim at reducing computation complexity and making computation more efficiently, such as matrix factorization [2][3][4][5], deduced directly from the signal flow graphs [6][7][8][9], indirect computation takes the advantage of existing fast algorithms [10][11][12][13] and CORDIC based fast algorithm [14][15][16][17][18][19]. To reach the specific requirement, these algorithms always make extensive design optimization, which result in some specific drawbacks such as, irregular signal-flow graphs, high control complexity, and hardly extend to more than 8-point DCTs.…”

Section: Introductionmentioning

confidence: 99%

CORDIC based fast algorithm for power-of-two point DCT and its efficient VLSI implementation

Huang

Xiao

2014

Microelectronics Journal

View full text Add to dashboard Cite

“…This WMSN (ZHANG et al, 2013;Ehsan and Hamdaoui, 2012;Baccarelli et al, 2014) typically deploys the count of camera sensor nodes in various fields using one or more data sinks situated at the center or outside the field. The phenomenon at various locations in the field is sensed by these camera sensor nodes (Kaddachi et al, 2012) and is transferred to the sink. If there is any motion detected, the camera gets triggered and the caught video is transferred to the sink, while in the case of intruder detection and home security application.…”

Section: Introductionmentioning

confidence: 99%

Enhancing lifetime of wireless multimedia sensor networks using modified lion algorithm–based image transmission model

Wankhade¹,

Jondhale²

2020

DTA

View full text Add to dashboard Cite

PurposeIn the past few decades, the wireless sensor network (WSN) has become the more vital one with the involvement of the conventional WSNs and wireless multimedia sensor networks (WMSNs). The network that is composed of low-power, small-size, low-cost sensors is said to be WSN. Here, the communication information is handled using the multiple hop and offers only a simple sensing data, such as humidity, temperature and so on, whereas WMSNs are referred as the distributed sensing networks that are composed of video cameras, which contain the sector sense area. These WMSNs can send, receive and process the video information data, which is more intensive and complicated by wrapping with wireless transceiver. The WSNs and the WMSNs are varied in terms of their characteristic of turnablity and directivity.Design/methodology/approachThe main intention of this paper is to maximize the lifetime of network with reduced energy consumption by using an advanced optimization algorithm. The optimal transmission radius is achieved by optimizing the system parameter to transmit the sensor information to the consequent sensor nodes, which are contained within the range. For this optimal selection, this paper proposes a new modified lion algorithm (LA), the so-called cub pool-linked lion algorithm (CLA). The next contribution is on the optimal selection of cluster head (CH) by the proposed algorithm. Finally, the performance of proposed model is validated and compared over the other traditional methods in terms of network energy, convergence rate and alive nodes.FindingsThe proposed model's cost function relies in the range of 74–78. From the result, it is clear that at sixth iteration, the proposed model’s performance attains less cost function, that is, 11.14, 9.78, 7.26, 4.49 and 4.13% better than Genetic Algorithm (GA), Dragonfly Algorithm (DA), Particle Swarm Optimization (PSO), Glowworm Swarm Optimization (GSO) and Firefly (FF), correspondingly. The performance of the proposed model at eighth iteration is 14.15, 7.96, 4.36, 7.73, 7.38 and 3.39% superior to GA, DA, PSO, GSO, FF and LA, correspondingly with less convergence rate.Originality/valueThis paper presents a new optimization technique for increasing the network lifetime with reduced energy consumption. This is the first work that utilizes CLA for optimization problems.

show abstract

Design and performance analysis of a zonal DCT-based image encoder for Wireless Camera Sensor Networks

Cited by 12 publications

References 26 publications

Image compression in resource-constrained eye tracking devices

Image compression in resource-constrained eye tracking devices

CORDIC based fast algorithm for power-of-two point DCT and its efficient VLSI implementation

Enhancing lifetime of wireless multimedia sensor networks using modified lion algorithm–based image transmission model

Contact Info

Product

Resources

About