Block Compressive Sensing (BCS) Based Multi-phase Reconstruction (MPR) Framework for Video

Ebrahim, Mansoor; Chia, Wai Chong

doi:10.1007/978-3-319-32213-1_10

Cited by 2 publications

(1 citation statement)

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“…In addition, the developed visual node is also capable of capturing images and recording videos. However, this research work is limited to multi-view image scenario, and BCS along with JMD framework [17,18,19,20] is implemented on low power applications (VSN) to evaluate and analyze its performance based on the reconstruction quality and computational complexity of BCS rather than measuring the bandwidth utilization.…”

Section: Introductionmentioning

confidence: 99%

Block Compressive Sensing (BCS) Based Low Complexity, Energy Efficient Visual Sensor Platform with Joint Multi-Phase Decoder (JMD)

Ebrahim

Chia

Adil

et al. 2019

Sensors

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Devices in a visual sensor network (VSN) are mostly powered by batteries, and in such a network, energy consumption and bandwidth utilization are the most critical issues that need to be taken into consideration. The most suitable solution to such issues is to compress the captured visual data before transmission takes place. Compressive sensing (CS) has emerged as an efficient sampling mechanism for VSN. CS reduces the total amount of data to be processed such that it recreates the signal by using only fewer sampling values than that of the Nyquist rate. However, there are few open issues related to the reconstruction quality and practical implementation of CS. The current studies of CS are more concentrated on hypothetical characteristics with simulated results, rather than on the understanding the potential issues in the practical implementation of CS and its computational validation. In this paper, a low power, low cost, visual sensor platform is developed using an Arduino Due microcontroller board, XBee transmitter, and uCAM-II camera. Block compressive sensing (BCS) is implemented on the developed platform to validate the characteristics of compressive sensing in a real-world scenario. The reconstruction is performed by using the joint multi-phase decoding (JMD) framework. To the best of our knowledge, no such practical implementation using off the shelf components has yet been conducted for CS.

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