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ICIP
2005
IEEE

Adaptive edge enhancement using a neurodynamical model of visual attention

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Adaptive edge enhancement using a neurodynamical model of visual attention
A new approach for selective edge enhancement using unsharp masking is presented. This is based on the premise that biological vision and image reproduction share common principles. In the traditional approach the high frequency components of the image are emphasized, adding to the signal a constant fraction of its high-pass filtered version. The presence of a linear high-pass filter makes the system extremely sensitive to noise. In our approach, the high frequencies added to input image are weighted by a topographic map corresponding to visually salient regions, obtained by a neurodynamical model of visual attention. In this way, the unsharp masking algorithm becomes local and adaptive, enhancing differently the edges according to human perception.
Francesca Gasparini, Silvia Corchs, Raimondo Schet
Added 23 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2005
Where ICIP
Authors Francesca Gasparini, Silvia Corchs, Raimondo Schettini
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