@article{gupta_image_2017,
	title = {Image {Acquisition} {System} {Using} {On} {Sensor} {Compressed} {Sampling} {Technique}},
	url = {http://arxiv.org/abs/1709.07041},
	abstract = {Advances in CMOS technology have made high resolution image sensors possible. These image sensor pose significant challenges in terms of the amount of raw data generated, energy efficiency and frame rate. This paper presents a new design methodology for an imaging system and a simplified novel pixel design to be used in such system so that Compressed Sensing technique can be implemented easily at the sensor level. This results in significant energy savings as it not only cuts the raw data rate but also reduces transistor count per pixel, decreases pixel size, increases fill factor, simplifies ADC, JPEG encoder and JPEG decoder design and decreases wiring as well as address decoder size by half. Thus Compressed Sensing has the potential to increase the resolution of image sensors for a given technology and die size while significantly decreasing the power consumption and design complexity. We show that it has potential to reduce power consumption by about 23\%-65\%.},
	urldate = {2017-11-01TZ},
	journal = {arXiv:1709.07041 [eess]},
	author = {Gupta, Pravir Singh and Choi, Gwan Seong},
	month = sep,
	year = {2017},
	note = {arXiv: 1709.07041},
	keywords = {Important, ⛔ No DOI found}
}

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