What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Optics
- Electrical engineering
Her primary scientific interests are in Image sensor, Pixel, Electronic engineering, CMOS and Dynamic range.
Her research in Image sensor intersects with topics in Reset, Wide dynamic range and Optoelectronics.
Her research integrates issues of Signal and Time delay and integration in her study of Pixel.
Her Electronic engineering research is multidisciplinary, incorporating perspectives in Image processing, Computer hardware and Chip.
In her research on the topic of CMOS, Integrated circuit is strongly related with Photodiode.
Her work in the fields of High dynamic range overlaps with other areas such as Companding and Star tracker.
Her most cited work include:
- Wide intrascene dynamic range CMOS APS using dual sampling (226 citations)
- A random access photodiode array for intelligent image capture (168 citations)
- Image sensor producing at least two integration times from each sensing pixel (126 citations)
What are the main themes of her work throughout her whole career to date?
Orly Yadid-Pecht spends much of her time researching Pixel, CMOS, Electronic engineering, Image sensor and Artificial intelligence.
Her Pixel study introduces a deeper knowledge of Optics.
Orly Yadid-Pecht combines subjects such as Photodiode and Chip with her study of CMOS.
In her study, Leakage is inextricably linked to Low-power electronics, which falls within the broad field of Electronic engineering.
Her Image sensor research incorporates themes from Image resolution, Photodetector, Dark current, Estimation theory and Image compression.
Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Computer vision and Pattern recognition.
She most often published in these fields:
- Pixel (39.15%)
- CMOS (34.47%)
- Electronic engineering (33.19%)
What were the highlights of her more recent work (between 2012-2021)?
- Wide dynamic range (15.32%)
- Tone mapping (6.38%)
- Artificial intelligence (18.30%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Wide dynamic range, Tone mapping, Artificial intelligence, Computer vision and Pixel.
The study incorporates disciplines such as Dynamic range and Computer hardware in addition to Wide dynamic range.
Her Dynamic range study combines topics from a wide range of disciplines, such as Image sensor, Semiconductor memory, Algorithm design, Significand and Ranging.
Orly Yadid-Pecht works mostly in the field of Image sensor, limiting it down to topics relating to Electrical engineering and, in certain cases, Photodetector, as a part of the same area of interest.
Orly Yadid-Pecht merges Pixel with Pixel aspect ratio in her study.
Her CMOS sensor study is focused on CMOS in general.
Between 2012 and 2021, her most popular works were:
- Cmos Imagers: From Phototransduction To Image Processing (85 citations)
- Hardware Implementation of a Digital Watermarking System for Video Authentication (46 citations)
- Lensless Miniature Portable Fluorometer for Measurement of Chlorophyll and CDOM in Water Using Fluorescence Contact Imaging (18 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Optics
- Electrical engineering
Orly Yadid-Pecht mainly focuses on Pixel, Wide dynamic range, Biomedical engineering, Tone mapping and Artificial intelligence.
Her Pixel study integrates concerns from other disciplines, such as Image sensor, Image processing, Electronic engineering, CMOS and Image noise.
Her CMOS study often links to related topics such as PMOS logic.
Her Image noise study combines topics in areas such as Reset, CMOS sensor, Noise floor and Electrical engineering.
Her Tone mapping research integrates issues from Image quality, Algorithm and Computer hardware.
As part of one scientific family, Orly Yadid-Pecht deals mainly with the area of Artificial intelligence, narrowing it down to issues related to the Computer vision, and often Signal.
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