A single bit memory per pixel time domain DPS using multi-reset integration scheme

Leomant, Sylvain; Wu, Xiajun; Bermak, Amine

doi:10.1109/iscas.2010.5537788

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast to UQ scheme, Equation (8) suggests that, the NUQ quantization levels are inversely proportional to the sampling time. Figure 3(b) shows that the NUQ provides an evenly distributed photocurrent sampling boundaries.…”

Section: Non-uniform Time-domain Quantizationmentioning

confidence: 99%

A Compact Digital Pixel Sensor (DPS) Using 2T-DRAM

Zhang

Leomant

Lau

et al. 2011

JLPEA

Self Cite

View full text Add to dashboard Cite

Abstract:In digital pixel sensors (DPS), memory elements typically occupy large silicon area of the pixel, which significantly reduces the pixel's fill factor while increases its size, power and cost. In this work, we propose to reduce DPS memory's area and power overhead by reducing the memory requirements with a multi-reset integration scheme, and meanwhile employing a dynamic memory instead of traditionally exploited large 6T-SRAM cell. The operation of the DPS takes advantage from the chronological change of the code, which results in reduced memory needs without affecting the light resolution. In the proposed implementation, a 4-bit in-pixel memory is used to reduce the pixel size, and an 8-bit resolution is achieved with multi-reset scheme. In addition, full complementary metal-oxide-semiconductor (CMOS) 2T DRAM and selective refresh scheme are adopted to implement the memory elements and further increase the area savings. This paper presents the proposed multi-reset integration methodology and its implementation with dedicated memory circuits. Proposed architecture is validated by a prototype chip fabricated using AMS 0.35 µm CMOS technology. Reported experimental results are compared with relative works.

show abstract

Section: Non-uniform Time-domain Quantizationmentioning

confidence: 99%