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Finding saliency in noisy images
2012
Computational Imaging X
Recently, many computational saliency models have been introduced 2, 5, 7, 13, 23 to transform a given image into a scalar-valued map that represents visual saliency of the input image. These approaches, however, generally assume the given image is clean. Fortunately, most methods implicitly suppress the noise before calculating the saliency by blurring and downsampling the input image, and therefore tend to be apparently rather insensitive to noise. 11 However, a fundamental and explicit
doi:10.1117/12.905760
dblp:conf/cimaging/KimM12
fatcat:h2tpjdsky5hubcvfdz525recbe