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Related Experiment Video

Updated: May 8, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Efficient halftoning based on multiple look-up tables.

Jing-Ming Guo, Yun-Fu Liu, Jia-Yu Chang

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

|August 20, 2013

Summary

This summary is machine-generated.

This study introduces multiple look-up table (MLUT) halftoning to generate direct binary search (DBS) halftones efficiently. The method preserves LUT efficiency while closely approximating DBS dot distribution for printing applications.

Related Experiment Videos

Last Updated: May 8, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Area of Science:

Digital image processing
Computer vision
Halftoning techniques

Background:

Look-up table (LUT) halftoning offers efficiency in generating halftone images.
Existing methods struggle to precisely simulate complex dot distributions.

Purpose of the Study:

To propose a general mechanism, multiple look-up table (MLUT) halftoning, for generating direct binary search (DBS) halftones.
To maintain the high efficiency of LUT-based methods.
To closely approximate the dot distribution of DBS.

Main Methods:

Utilizing standard deviation as a feature for classifying multiple look-up tables.
Employing a quick standard deviation evaluation for low computational complexity.
Adopting autocorrelation for parameter optimization to characterize dot distribution periodicity.

Main Results:

The proposed MLUT halftoning method successfully generates halftones approximating DBS dot distribution.
The method preserves the efficiency characteristic of LUT halftoning.
Quick standard deviation evaluation significantly reduces computational complexity.

Conclusions:

MLUT halftoning provides an efficient and accurate method for generating DBS halftones.
The technique is a competitive candidate for the copying and printing industry.
Standard deviation and autocorrelation are effective features for optimizing halftoning algorithms.