Search Results for author: Mateu Sbert

Found 4 papers, 1 papers with code

A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation

no code implementations3 Mar 2021 Min Chen, Mateu Sbert

We examine a number of bounded measures that include the Jenson-Shannon divergence and a new divergence measure formulated as part of this work.

Information Theory Graphics Human-Computer Interaction Information Theory

A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation

no code implementations3 Mar 2021 Min Chen, Alfie Abdul-Rahman, Deborah Silver, Mateu Sbert

The recently-proposed information-theoretic measure for analyzing the cost-benefit ratio of visualization processes can explain such usefulness experienced in practice, and postulate that the viewers' knowledge can reduce the potential distortion (e. g., misinterpretation) due to information loss.

Human-Computer Interaction Graphics Information Theory Information Theory

A Bounded Measure for Estimating the Benefit of Visualization

no code implementations12 Feb 2020 Min Chen, Mateu Sbert, Alfie Abdul-Rahman, Deborah Silver

Information theory can be used to analyze the cost-benefit of visualization processes.

Dense Haze: A benchmark for image dehazing with dense-haze and haze-free images

2 code implementations5 Apr 2019 Codruta O. Ancuti, Cosmin Ancuti, Mateu Sbert, Radu Timofte

Characterized by dense and homogeneous hazy scenes, Dense-Haze contains 33 pairs of real hazy and corresponding haze-free images of various outdoor scenes.

Image Dehazing Single Image Dehazing

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