Saliency Map Model of a Color Image using Independent Component Analysis

S.-J. Park, M. Lee, and J.-K. Shin (Korea)


color opponent coding, independent component analysis


In this paper, we propose a new saliency map model to find a saliency point in a color image. Independent component analysis (ICA) is used to find a filter that can generate a saliency point from a color natural scene. Also, we consider the roles of cells in retina such as edge detection and color opponency as a preprocessor of ICA filter that models the brain function to reduce the redundancy. Computer experimental results show that the proposed saliency map model successfully generates the saliency points, of which the results are very considerable.

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