iSEW: in-Sensor Embedded Watermarking for Secure Imaging

This paper proposes an analog-domain watermarking approach implemented directly in CMOS sensors. By embedding the watermark at the readout stage before ADC, we achieve a robust, tamper-resistant mechanism with minimal impact on image quality. Modifications to the column amplifier architecture and a secure pattern generator enable effective watermark embedding. Experimental results on a 64×64 pixel array showcase high watermark detection rates (> 85%) under various attacks.

Authors

Institutions

Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1109/fccm62733.2025.00076
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

iSEW: in-Sensor Embedded Watermarking for Secure Imaging

Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi
Advanced Steganography and Watermarking Techniques
article

iSEW: in-Sensor Embedded Watermarking for Secure Imaging

Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi
article en

Abstract

This paper proposes an analog-domain watermarking approach implemented directly in CMOS sensors. By embedding the watermark at the readout stage before ADC, we achieve a robust, tamper-resistant mechanism with minimal impact on image quality. Modifications to the column amplifier architecture and a secure pattern generator enable effective watermark embedding. Experimental results on a 64×64 pixel array showcase high watermark detection rates (> 85%) under various attacks.

New Jersey Institute of Technology (US), University of Illinois Chicago (US)
National Science Foundation
Openalex Percentile: Top 90%
Advanced Steganography and Watermarking Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.