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Related Experiment Video

Updated: Jun 14, 2026

High-resolution Patterning Using Two Modes of Electrohydrodynamic Jet: Drop on Demand and Near-field Electrospinning

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Published on: July 10, 2018

Orientation modulation for data hiding in clustered-dot halftone prints.

Orhan Bulan¹, Gaurav Sharma, Vishal Monga

¹Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627, USA. bulan@ece.rochester.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|March 31, 2010

Summary

This study introduces a novel data hiding framework for halftone images, overcoming printing and scanning challenges. The method achieves high data capacity and robust extraction, preserving image quality.

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Last Updated: Jun 14, 2026

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Area of Science:

Digital Image Processing
Information Hiding
Halftoning Technology

Background:

Hardcopy data embedding faces challenges from bilevel quantization, image fidelity demands, and print-scan distortions.
Existing methods struggle with automated data extraction and high embedding capacity in halftone images.

Purpose of the Study:

To develop a robust framework for data hiding in clustered dot halftone images.
To enable high embedding capacity and automated data extraction despite print-scan distortions.

Main Methods:

Joint embedding and halftoning using an analytical halftone threshold function for data-steered spot orientation.
A data detection and error control methodology based on a statistical print-scan channel model.
Exploiting halftone periodicity for geometric distortion recovery and a novel synchronization technique for local distortions.

Main Results:

The proposed framework achieves high operational rates for data embedding.
Maintained high halftone image quality and fidelity.
Demonstrated robustness against printing and scanning distortions.

Conclusions:

The novel framework effectively addresses challenges in data hiding for halftone images.
The approach balances embedding capacity, data integrity, and image quality.
Successful recovery from various print-scan distortions was experimentally verified.