A visual saliency detection algorithm based on channel selecting in transform domains

Abstract

A transform domain algorithm using channel selecting is proposed for visual saliency in this paper. This algorithm is able to improve the accuracy of the traditional transform domain saliency detection while preserving their advantage of fast processing speed. Based on the image signature algorithm, we select the channels by calculating the correlation values between each channel. Then, the selected channels, instead of all of the channels, are combined for the final saliency map according to the corresponding combination rule which we designed. The experimental comparison between the proposed and original approaches demonstrates that our method is higher in accuracy while maintaining high processing speed.