hierarchical mask creation for intelligent image coding using saliency maps

Clicks: 223
ID: 191204
2016
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Abstract
In this paper we analyze basic mask creation methods for intelligent image coding using saliency maps. For saliency maps based image coding we use specific extension of SPIHT algorithm called SM SPIHT related to region of interest encoding but extending this approach further, ending with individual weight of importance for each pixel in image using the form of saliency map. This approach is proved to be effective. In this article we analyze impact of different basic hierarchical mask creation methods, which have impact on error separation between salient and not salient parts of the image. The results indicate that proposed mask creation method outperforms JPEG2000 based mask tree creation method.
Reference Key
vargic2016internationalhierarchical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Radoslav Vargic;Jaroslav Polec
Journal química nova
Year 2016
DOI
10.11601/ijates.v5i3.191
URL
http://ijates.org/index.php/ijates/article/view/191
Keywords
telecommunication

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