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Wanbin Zha

dblp:273/6316 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0002-4095-4648ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 50% Computational photography and imaging · 50%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design › semiconductor devices › image sensor
CMOS image sensor
0.912025
Analysis and solution of streak effect in high dynamic range CMOS image sensors · Sci. China Inf. Sci. 2025
Integrated circuit design › semiconductor devices › image sensor
image sensor design
0.912025
Analysis and solution of streak effect in high dynamic range CMOS image sensors · Sci. China Inf. Sci. 2025
Computational photography and imaging
high dynamic range imaging
0.312025
Analysis and solution of streak effect in high dynamic range CMOS image sensors · Sci. China Inf. Sci. 2025
Image and video processing
image enhancement
0.312025
Analysis and solution of streak effect in high dynamic range CMOS image sensors · Sci. China Inf. Sci. 2025

Methods — techniques the papers use, named apart from their topics

sensor characterization · 1.7
YearPublicationVenuePosition
2025 Analysis and solution of streak effect in high dynamic range CMOS image sensors
Wanbin Zha, Jinghua Ao, Kaiming Nie
Sci. China Inf. Sci.1
2025 A Double-Data-Rate Ripple Counter With Calibration Circuits for Correlated Multiple Sampling in CMOS Image Sensors
abstract
This brief presents a double-data-rate (DDR) ripple counter with calibration circuits for correlated multiple sampling (CMS) in CMOS image sensors (CISs). This brief analyzes a specific type of least significant bit (LSB) error that obstructs the recording of the prior LSB count result during continuous counting processes when performing digital correlated double sampling (DDS) and digital CMS. This error stems from the transparent characteristic of the LSB in DDR counter and causes the increase of random noise. A calibration circuit is presented to calibrate the LSB error, which achieves carry propagation and retains the remainder by recording the result of the LSB after each quantization. The random noise is reduced by 25.5% based on simulation results in different CMS iterations after calibration. A$1280\times 1024$prototype CIS is fabricated in a 110-nm 1P4M process. The experimental results show that at DDS mode, the CIS random noise is$147~\mu \text { V}_{\text {rms}}$and ADC power consumption is$21.07~\mu $W, whereas at CMS =2, the noise is$118~\mu \text { V}_{\text {rms}}$and power consumption is$28.07~\mu $W. In addition, the prototype CIS has a column FPN of 0.006%.
Wanbin Zha, Kaiming Nie
IEEE Trans. Very Large Scale Integr. Syst.1