Memristor-Based Approximate Adders for Efficient In-Memory Computing in Image Processing

Zhouchao Gan; Mengjie Li; Fan Yang; Cheng Fang; Xiangshui Miao; Xingsheng Wang

doi:10.1109/edtm61175.2025.11040549

ScienceGate Book Chapters

JOURNAL ARTICLE

Memristor-Based Approximate Adders for Efficient In-Memory Computing in Image Processing

Zhouchao Gan Mengjie Li Fan Yang Cheng Fang Xiangshui Miao Xingsheng Wang

Year: 2025 Pages: 1-3

DOI: 10.1109/edtm61175.2025.11040549

Get Full-Text PDF Get Analytical Report

Keywords:

Adder Memristor Computer science Image processing Parallel computing In-Memory Processing Computer architecture Computer hardware Image (mathematics) Artificial intelligence Electronic engineering Engineering

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.20

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neuroscience and Neural Engineering

Life Sciences → Neuroscience → Cellular and Molecular Neuroscience

CCD and CMOS Imaging Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

Memristor-Based Approximate Adders for Efficient In-Memory Computing in Image Processing

Metrics

Topics

Related Documents

Efficient Image Processing via Memristive-Based Approximate In-Memory Computing

Efficient Approximate Adders for Image Processing Applications

Highly efficient low-area gate-diffusion-input-based approximate full adders for image processing computing

CNFET-based approximate ternary adders for energy-efficient image processing applications

Memristor augmented approximate adders and subtractors for image processing applications: An approach