Energy efficient image coding techniques for low power sensor nodes: A review

Suseela, G.; Phamila, Y. Asnath Victy

doi:10.1016/j.asej.2017.10.004

Cited by 10 publications

(2 citation statements)

References 67 publications

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“…Not even the low complexity JPEG still image compression algorithm. This is mostly driven by the discrete cosine transform (DCT) step [33,36]. In order to accommodate the limited computational capabilities of low-power video sensors, we suggest using a priority-based low complexity image compression method [22].…”

Section: Priority-based Low Complexity Visual Data Reductionmentioning

confidence: 99%

Disjoint multipath RPL for QoE/QoS provision in the Internet of Multimedia Things

Kettouche

Maimour²,

Derdouri

2022

Computing

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RPL is the IETF standardized IPv6 Routing Protocol for Lowpower and lossy networks (LLNs). The major effort is therefore made on handling low data rate traffic. Meanwhile, the Internet of Multimedia Things (IoMT) emerged as one hot topic of the Internet of Things (IoT). In LLNs, providing a descent quality of service (QoS) along with a user quality of experience (QoE) for multimedia applications is challenging. High bandwidth and significant computation capabilities are necessary while LLNs are very resource constrained. To raise the available bandwidth to accommodate high data rate applications, we propose to simultaneously transmit a flow on multiple disjoint paths. To do so, we exploit the DODAG structure, already maintained by RPL, to build disjoint paths without incurring extra overhead. To reduce the amount of data to send while considering the low computation resources of video sensors, we propose to apply a priority-based low-complexity encoding scheme on the captured pictures. Highest priority data can be replicated on more than one path. Our conducted experiments using simulations as well as a real testbed show that the best QoS and QoE are obtained when multiple paths are used along with the replication of highest priority data packets.

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Section: Priority-based Low Complexity Visual Data Reductionmentioning

confidence: 99%

Disjoint multipath RPL for QoE/QoS provision in the Internet of Multimedia Things

Kettouche

Maimour²,

Derdouri

2022

Computing

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“…e high energy consumption of the FrWF architecture may be prohibitive for wearable sensors and portable imaging devices with tight memory and energy constraints [79].…”

Section: Related Workmentioning

confidence: 99%

Lifting-Based Fractional Wavelet Filter: Energy-Efficient DWT Architecture for Low-Cost Wearable Sensors

Tausif

Khan

Hasan

et al. 2020

Advances in Multimedia

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This paper proposes and evaluates the LFrWF, a novel lifting-based architecture to compute the discrete wavelet transform (DWT) of images using the fractional wavelet filter (FrWF). In order to reduce the memory requirement of the proposed architecture, only one image line is read into a buffer at a time. Aside from an LFrWF version with multipliers, i.e., the LFr WF m , we develop a multiplier-less LFrWF version, i.e., the LFr WF ml , which reduces the critical path delay (CPD) to the delay T a of an adder. The proposed LFr WF m and LFr WF ml architectures are compared in terms of the required adders, multipliers, memory, and critical path delay with state-of-the-art DWT architectures. Moreover, the proposed LFr WF m and LFr WF ml architectures, along with the state-of-the-art FrWF architectures (with multipliers (Fr WF m ) and without multipliers (Fr WF ml )) are compared through implementation on the same FPGA board. The LFr WF m requires 22% less look-up tables (LUT), 34% less flip-flops (FF), and 50% less compute cycles (CC) and consumes 65% less energy than the Fr WF m . Also, the proposed LFr WF ml architecture requires 50% less CC and consumes 43% less energy than the Fr WF ml . Thus, the proposed LFr WF m and LFr WF ml architectures appear suitable for computing the DWT of images on wearable sensors.

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VLSI implementation of an energy-efficient color image compressor using improved block truncation coding and enhanced Golomb-rice coding for wireless sensor networks

Nirmala,

Begum,

Selvanayagi

et al. 2024

J Supercomput

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Energy efficient image coding techniques for low power sensor nodes: A review

Cited by 10 publications

References 67 publications

Disjoint multipath RPL for QoE/QoS provision in the Internet of Multimedia Things

Disjoint multipath RPL for QoE/QoS provision in the Internet of Multimedia Things

Lifting-Based Fractional Wavelet Filter: Energy-Efficient DWT Architecture for Low-Cost Wearable Sensors

VLSI implementation of an energy-efficient color image compressor using improved block truncation coding and enhanced Golomb-rice coding for wireless sensor networks

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