Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

A Multi-Scale Diffusion Method for Chromatic Adaptation and Halo Artifact Suppression

Sifuentes F.C.; Cahuina E.C.; Colque R.M. · Brazilian Symposium of Computer Graphic and Image Processing (2025) · DOI: 10.1109/sibgrapi67909.2025.11223500

Resumen

Color blindness affects a significant portion of the population, it impacts the visual experience of affected individuals, making chromatic adaptation in digital content crucial for visual accessibility. Existing chromatic adaptation methods effectively improve visual perception but suffer from high computational costs and can produce unwanted halo artifacts. This paper proposes an efficient chromatic adaptation algorithm based on a multi-scale Gaussian pyramid strategy combined with local anisotropic diffusion, effectively eliminating halo artifacts while preserving image quality. Experimental results evaluated with PSNR, local SSIM, MSE, CIEDE2000 and Absolute Difference Maps demonstrate that the proposed method achieves visual quality comparable to state-of-the-art algorithms while drastically reducing processing times by over 90%. Thus, the proposed approach provides an efficient solution, enabling practical integration into iterative applications to enhance visual accessibility for colorblind users.

Instituciones: Universidad de Ingeniería y Tecnología