Contribution to the design of a CMOS image sensor with low-complexity video compression for wireless sensor networks

Chefi, Ahmed; Soudani, Adel; Sicard, Gilles

doi:10.1016/j.sysarc.2013.07.010

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…We proved in [4,5] that CMOS hardware implementation can reduce time and energy costs related to software implementation of the proposed compression scheme. Time savings and energy gains are of the order of several thousands [4,5]. Fig.…”

Section: End Of Coding End Of Codingmentioning

confidence: 96%

“…The cost of this superiority is a higher computational complexity. By cons, the final cost (energy consumption and memory footprint) of both processing and transmission of the compressed image is much better in the case of wavelet-transform-based encoders [4,5]. The proposed scheme is built around Haar wavelet transform (HWT) applied with SPIHT encoder and a low-complexity release of arithmetic encoding.…”

Section: The Proposed Image Compression Techniquementioning

confidence: 99%

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SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

Chefi

Sicard

2014

2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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Wireless Sensor Networks (WSNs) are known to be greatly energy-constrained, especially for vision-based applications. Image compression can provide energy efficiency by reducing the data flow to be transmitted at the cost of more computation. The compression scheme must be designed with respect to the tradeoff between computational complexity and compression ratio. The aim of this paper is to present and evaluate software and hardware implementations of lowcomplexity encoder designed to respect the resource constraints of WSNs. The proposed image compression scheme will be considered as a co-processor enabling low power computation and communication over WSNs. This paper presents a performance evaluation of the proposed technique for both software and hardware implementations, with relevant comparisons to some related works.

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Section: End Of Coding End Of Codingmentioning

confidence: 96%

Section: The Proposed Image Compression Techniquementioning

confidence: 99%

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

Chefi

Sicard

2014

2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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“…The huge cost of uploading a 128x128 pixels -8bit image is 2200mJ in our case. With the use of local mean values and a dedicated digital block that compress the image (based on a chain of several transforms like Haar Wavelet) [5], we obtain with a good PSNR (>30dB) an energy cost up to 100mJ and a bit rate of 0,1bpp instead of 2200mJ and 8bpp (Fig. 6).…”

Section: Intra-pixel Interaction Capabilitymentioning

confidence: 99%

Simple intra-pixel interaction for smart CMOS image sensors

Sicard

Abbas

Chefi

et al. 2014

2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA)

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This paper is focused on our recent results on the used of local pixel interactions. We show results obtained on smart vision chips with the help of the mean value computation of small pixels block. Technical details on the implementation of this computation will be done. Then, we will focus on vision chips dedicated to the improvement of the input dynamic range (HDR sensor) using a bio-inspired law close to a light adaptive Gamma curve and a smart management of the pixel integration time. We show the use of these local mean values in order to minimize temporal redundancies in a flow of images. This technique reduces the power consumption for a constant frame rate (due to the reduced number of read and converted pixels) or improves the average frame rate of the imager. Finally, we will expose a very interesting alternative dedicated to a very efficiency compression coder dedicated to image wireless sensor network.

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An energy-saving video compression targeting face recognition of disaster victim

Pal

Bit

2021

Multimedia Systems

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Contribution to the design of a CMOS image sensor with low-complexity video compression for wireless sensor networks

Cited by 7 publications

References 29 publications

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

Simple intra-pixel interaction for smart CMOS image sensors

An energy-saving video compression targeting face recognition of disaster victim

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