Related Experiment Video
Updated: Jun 23, 2026

Applying Permanent, Robust Stenciled Patterns of Fine Particles to Elastomeric Surfaces
Published on: July 8, 2025
Multiscale probabilistic dithering for suppressing contour artifacts in digital images
Sitaram Bhagavathy1, Joan Llach, Jiefu Zhai
1Signal Acquisition and Processing Group, Thomson Corporate Research, Princeton, NJ 08540, USA. sitaram.bhagavathy@thomson.net
Abstract:
A method is proposed for reducing the visibility of "contour artifacts," i.e., false contours resulting from color quantization in digital images. The method performs a multiscale analysis on the neighborhood of each pixel, determines the presence and scale of contour artifacts, and probabilistically dithers (perturbs) the color of the pixel. The overall effect is to "break down" the false contours, making them less visible. The proposed method may be used to reduce contour artifacts at the same bit depth as the input image or at higher bit depths. The contour artifact detection mechanism ensures that artifact-free regions remain unaffected during the process.
Related Concept Videos
Downsampling
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Upsampling
Reconstruction of Signal using Interpolation
