Citation Export
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wan, Rentao | - |
| dc.contributor.author | Xu, Yichen | - |
| dc.contributor.author | Jee, Dong Woo | - |
| dc.contributor.author | Seok, Mingoo | - |
| dc.date.issued | 2025-01-01 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/38589 | - |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105007021623&origin=inward | - |
| dc.description.abstract | An image sensor is one of the most important building blocks of modern electronics, such as smartphones, drones, and autonomous vehicles. The state-of-the-art image sensor captures an incredibly detailed, high-resolution image [1]-[3], however, it also generates a large amount of data, which overwhelms the downstream processing. To address this challenge, recent works have investigated in- and near-sensor data compression techniques [4]-[14]. [4] is one of the few works which demonstrated the end-to-end systems (containing pixels, compression hardware, and analog-to-digital converters [ADC]). However, it consumes a significant amount of energy of 5919 pJ/pixel, of which the analog discrete cosine transform (DCT) processor takes 58%. On the other hand, [5] proposed the analog compressor and ADC systems (no pixels). However, it also consumes a non-negligible amount of energy (404 pJ/pixel) and exhibits a limited performance of only 6 frame-per-second (fps). In contrast, [6], [7] proposed digital DCT processors, which reduce the energy consumption down to 29-126 pJ/pixel. However, they require the analog-digital conversion of every pixel, which would significantly increase the overall energy consumption. | - |
| dc.description.sponsorship | This work is supported in part by Catalyst Foundation and COGNISENSE, one of seven centers in JUMP 2.0, an SRC program sponsored by DARPA. | - |
| dc.language.iso | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.subject.mesh | Analog to digital converters | - |
| dc.subject.mesh | Arts image | - |
| dc.subject.mesh | Autonomous Vehicles | - |
| dc.subject.mesh | Building blockes | - |
| dc.subject.mesh | Discrete cosines | - |
| dc.subject.mesh | Energy | - |
| dc.subject.mesh | Energy-consumption | - |
| dc.subject.mesh | Frames per seconds | - |
| dc.subject.mesh | Smart phones | - |
| dc.subject.mesh | State of the art | - |
| dc.title | AJPEG: A 26.4-pJ/pixel, 252-fps, 128×128 Image Sensor with an In-Sensor Analog DCT Processor for Data Compression | - |
| dc.type | Conference | - |
| dc.citation.conferenceDate | 2025.04.13.~2025.04.17. | - |
| dc.citation.conferenceName | 45th Annual IEEE Custom Integrated Circuits Conference, CICC 2025 | - |
| dc.citation.edition | 2025 IEEE Custom Integrated Circuits Conference, CICC 2025 - Proceedings | - |
| dc.citation.title | Proceedings of the Custom Integrated Circuits Conference | - |
| dc.identifier.bibliographicCitation | Proceedings of the Custom Integrated Circuits Conference | - |
| dc.identifier.doi | 10.1109/cicc63670.2025.10982958 | - |
| dc.identifier.scopusid | 2-s2.0-105007021623 | - |
| dc.type.other | Conference Paper | - |
| dc.identifier.pissn | 08865930 | - |
| dc.subject.subarea | Electrical and Electronic Engineering | - |
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