A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri, Abdelhamid; Hadjou, Brahim; Khoumsi, Ahmed

doi:10.5402/2012/760320

Cited by 40 publications

(24 citation statements)

References 82 publications

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“…Thus, EBCOT is not usable for WMSNs [25]. Tier-1 operation consumes more than 70 % of the energy after DWT step [19].…”

Section: Comparison Of Image Compression Techniquesmentioning

confidence: 99%

“…In the second step, each of the four sub bands is separated into four sub bands as LL2, LH2, HL2, and HH2 and so on. LL sub band is shown in Figure 3 [19]. …”

Section: Discrete Wavelet Transforms (Dwt)mentioning

confidence: 99%

“…When they compare fractal and JPEG, they see that fractal has bigger compression rate, but it is concluded that it is not that much useful since it decreases the lifetime of WMSN significantly by consuming large amount of energy during encoding [16,19].…”

Section: Comparison Of Image Compression Techniquesmentioning

confidence: 99%

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An analysis of image compression techniques in wireless multimedia sensor networks

Şentürk

Kara

2016

Teh. vjesn.

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Subject reviewWireless Multimedia Sensor Networks (WMSNs) provide realization of applications which are usable everywhere and address many fields like mobile health care, environmental surveillance and traffic monitoring. Large amount of data causes to traffic in memory resources, difficulties in operation, and excessive power consumption -which is the most important one -for every node while WMSNs transfer multimedia data during those applications. Those kinds of problems are vital for WMSNs which already have limited resources. Image compression can be one of the effective solutions to overcome those problems. Thus, network lifetime of WMSNs can be increased significantly and the bandwidth can be used in a more effective way. The main purpose of this study is to investigate image compression algorithms used for WMSNs in the literature and to show which algorithm is advantageous in which case by making comparisons among them. Keywords: energy efficiency; image compression; wireless multimedia sensor networkAnaliza načina sažimanja slike u bežičnoj višemedijskoj senzorskoj mreži Pregledni članakBežične višemedijske senzorske mreže -Wireless Multimedia Sensor Networks (WMSNs) omogućuju realizaciju aplikacija koje se svugdje mogu primijeniti, a odnose se na mnoga područja kao što je briga o zdravlju, praćenje stanja okoliša i upravljanje prometom. Izmjena velikih količina podataka stvara poteškoće u funkcioniranju memorije te prekomjernu potrošnju energije u svakom čvoru -a to je najvažnije -dok WMSNs prenose multimedijske podatke tijekom tih aplikacija. Ta je vrsta problema od bitne važnosti za WMSNs koji već imaju ograničene resurse. Sažimanje slike može biti jedno od učinkovitih rješenja za svladavanje tih problema. Trajnost WMSNs na mreži može se tako značajno povećati, a širina područja se može učinkovitije iskoristiti. Glavna svrha ovoga rada je istražiti algoritme sažimanja slike koji se u literaturi primjenjuju za WMSNs te uspoređujući ih pokazati koji algoritam ima prednost u pojedinom slučaju.

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“…Thus, EBCOT is not usable for WMSNs [25]. Tier-1 operation consumes more than 70 % of the energy after DWT step [19].…”

Section: Comparison Of Image Compression Techniquesmentioning

confidence: 99%

“…In the second step, each of the four sub bands is separated into four sub bands as LL2, LH2, HL2, and HH2 and so on. LL sub band is shown in Figure 3 [19]. …”

Section: Discrete Wavelet Transforms (Dwt)mentioning

confidence: 99%

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An analysis of image compression techniques in wireless multimedia sensor networks

Şentürk

Kara

2016

Teh. vjesn.

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“…The objective of this section is to present the related work in the area of JPEG algorithms [7,11,12,14,15,17]. In 2002, Santa-Cruz et al In other studies, Ameer and Basir [6] described a simple method to compress the image thorough plane fitting with inter-block prediction.…”

Section: Related Workmentioning

confidence: 99%

An Image Compression Algorithm and Its Analysis on the Basis of Different Masking Tables

Bano¹,

Rehman²

2017

IJERA

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Image compression algorithms are used to reduce the redundancies in the representation of the data so that the data storage requirements and the communication cost can be reduced. Different algorithms have been developed to reduce the size of an image like JPEG, PNG, SPIHT, etc. In this paper, we mainly focus on the JPEG image compression algorithm because it is mostly used in the Internet and Multimedia based applications. In JPEG, quantization tables and masking tables are used as the main source for the compression of the data. Based on our review, we identify that in literature less attention is given to analyze the effect of the masking tables during the implementation of the JPEG algorithms. Therefore, to address this research issue, in this paper, we analyze the effect of the masking tables used during the JPEG image compression algorithms.

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“…al. [11] have presented a review paper on image compression techniques exclusively considering sensor networks. The authors have discussed various compression schemes and finally discussed on effective principles on compression for sensor networks.…”

Section: Table1 Papers On Compressive Sensing Techniquesmentioning

confidence: 99%

Scaling the Effectiveness of Existing Compressive Sensing in Multimedia Contents

Lakshminarayana¹,

Sarvagya²

2015

IJCA

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Compression has always played a crucial role in storage and transmission of heavier multimedia files. The existences of compression algorithms are more than two decade old. The normal compression algorithms are sometimes not required to process a signal in many cases where the signals are sparse. In such cases, compressive sensing highly contributes and compensates the issues of conventional compression algorithms as it performs sampling as well as compression at a same time. The concept of compressive sensing is quite new and is not much in matured stage. Our findings reported in this paper is a result of observation being carried out on all major research journals, which states that there are little amount of studies being done on compressive sensing and reconstruction of multimedia contents. The paper also discusses about the significant research gap and evaluates teh effectiveness of existing techniques.

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A Survey of Image Compression Algorithms for Visual Sensor Networks

Cited by 40 publications

References 82 publications

An analysis of image compression techniques in wireless multimedia sensor networks

An analysis of image compression techniques in wireless multimedia sensor networks

An Image Compression Algorithm and Its Analysis on the Basis of Different Masking Tables

Scaling the Effectiveness of Existing Compressive Sensing in Multimedia Contents

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