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Optical Engineering • Open Access

Low-quality image enhancement using visual attention
Author(s): Francesca Gasparini; Silvia Corchs; Raimondo Schettini

Paper Abstract

Low quality images are often corrupted by artifacts and generally need to be heavily processed to become visually pleasing. We present a modified version of unsharp masking that is able to perform image smoothing, while not only preserving but also enhancing the salient details in images. The premise supporting the work is that biological vision and image reproduction share common principles. The key idea is to process the image locally according to topographic maps obtained from a neurodynamical model of visual attention. In this way, the unsharp masking algorithm becomes local and adaptive, enhancing the edges differently according to human perception.

Paper Details

Date Published: 1 April 2007
PDF: 3 pages
Opt. Eng. 46(4) 040502 doi: 10.1117/1.2721764
Published in: Optical Engineering Volume 46, Issue 4
Show Author Affiliations
Francesca Gasparini, Univ. degli Studi di Milano-Bicocca (Italy)
Silvia Corchs, Univ. degli Studi di Milano-Bicocca (Italy)
Raimondo Schettini, Univ. degli Studi di Milano-Bicocca (Italy)

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