Evidence map›Paper›PMID 41600285›Full record

ReviewSensors (Basel, Switzerland)2026

Advancements in Active-Pixel-Type CMOS Image Sensor Design Techniques and Architectures for Wide Dynamic Range.

Sangwoong Sim, Jaehoon Jun

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sangwoong SimDepartment of Electrical and Computer Engineering and Program in Semiconductor Convergence, Inha University, Incheon 22212, Republic of Korea.ORCID 0009-0000-9092-3949
Jaehoon JunDepartment of Electrical and Computer Engineering and Program in Semiconductor Convergence, Inha University, Incheon 22212, Republic of Korea.ORCID 0000-0002-6224-1358

Funding

Information Technology Research Center (ITRC) program supervised by the Institute for Information & Communications Tech-603 nology Planning & Evaluation (IITP) IITP-2021-0-02052Korea Planning & Evaluation Institute of Industrial Technology RS-2024-00458468
6 · The paper itself

Abstract

Advances in CMOS image sensors (CISs) have led to utilization in various industrial fields, including machine vision, medical, surveillance, the automotive industry, and the Internet of Things (IoT). One critical metric for CISs is the dynamic range (DR), which indicates the range of light intensity that can clearly capture images. As the technology evolves, wide dynamic range (WDR) becomes increasingly required for more diverse applications. To further advance these industries, this paper presents the active-pixel-type CIS design techniques and architectures developed to achieve WDR. These include the following: the basic concepts of the active pixel sensor, readout mechanism, and DR of the CIS; multiple exposure and dual conversion gain (DCG) schemes that are conventionally used to address a trade-off in the CIS; lateral overflow integration capacitor (LOFIC) and dual photodiode (PD) architectures that can improve the DR by utilizing trade-offs in the DR and exposure mechanism; CISs with logarithmic and linear-logarithmic (Lin-Log) responses to enable non-linear characteristics; and techniques that can be employed for higher sensitivity in dark conditions. This comprehensive study of various techniques and architectures can also be utilized for cutting-edge tech advances and future research, including neuromorphic array architecture.

Indexed as

CMOS image sensor (CIS)correlated multiple sampling (CMS)dual conversion gain (DCG)dual photodiode (PD)dynamic range (DR)lateral overflow integration capacitor (LOFIC)linear–logarithmic (Lin-Log) responselinear responselogarithmic responsemultiple exposure

Identifiers

PMID41600285
PMCPMC12845816

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.