Abstract | ||
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This study presents a novel method for content-aware image resizing based on the normalised saliency map of an image termed saliency histogram (SH), which provides the probability of a target's presence in the spatial location domain. Motivated by the idea of spreading the histogram of an image on the grey scale known as image histogram equalisation for contrast enhancement, fast SH equalisation (... |
Year | DOI | Venue |
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2016 | 10.1049/iet-ipr.2015.0559 | IET Image Processing |
Keywords | Field | DocType |
image enhancement,probability | Histogram,Computer vision,Resizing,Pattern recognition,Salience (neuroscience),Histogram matching,Adaptive histogram equalization,Artificial intelligence,Balanced histogram thresholding,Image histogram,Mathematics,Salient | Journal |
Volume | Issue | ISSN |
10 | 10 | 1751-9659 |
Citations | PageRank | References |
1 | 0.35 | 16 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsi-Chin Hsin | 1 | 73 | 12.34 |