Scale Space Reduction with Interpolation to Speed up Visual Saliency Detection

Автор: Omprakash S. Rajankar, Uttam D.Kolekar

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 8 vol.7, 2015 года.

Бесплатный доступ

The scale of salient object in an image is not a known priori, therefore to detect salient objects accurately multiple scale analysis is used by saliency detection models. However, multiple scale analysis makes the saliency detection slow. Fast and accurate saliency detection is essential to obtain Region of Interest in image processing applications. This paper proposes a scale space reduction with interpolation to speed up the saliency detection. To demonstrate the concept, this method is integrated with Hypercomplex Fourier Transform saliency detection which reduced the computational complexity from O(N) to O(N/2).

Hypercomplex Fourier Transform, Interpolation, Scale Space Analysis, Object scales, Visual saliency

Короткий адрес: https://sciup.org/15013900

IDR: 15013900

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