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State-of-the-art methods for airport detection in panchromatic remote sensing images utilize very limit geometrical features of airport line segments. This paper proposes a novel method based on both bottom-up and top-down saliency. Noticed that airport runways have features of vicinity and parallelity, and their lengths are among certain range, the concept of near parallelity is introduced after...
Previous spatial domain methods of visual saliency detection suffer from computational complexity, and recent frequency domain methods lack biological justification. We propose a saliency detection method that combines the speed of frequency domain methods with the topology of biologically based methods. We show that saliency detection can be achieved in frequency domain using frequency domain divisive...
Compressive sampling is a novel framework in signal acquisition and reconstruction, which achieves sub-Nyquist sampling by exploiting the sparse nature of most signals of interest. In this letter, we propose a saliency-based compressive sampling scheme for image signals. The key idea is to exploit the saliency information of images, and allocate more sensing resources to salient regions but fewer...
This paper proposes a saliency-based attention model based on pulsed cosine transform that simulates the lateral surround inhibition of neurons with similar visual features. The model can be extended to Hebbian-based neural networks. The visual saliency can be represented in binary codes, which agrees with the firing pulse of neurons in human brain. In addition, motion saliency can be directly generated...
Image quality assessment (IQA) is of great importance for many image processing applications. Some IQA indexes proposed recently more or less try to boost their performance to accord with human subjective evaluation by simulating human visual system (HVS). However, they do not take global salient features into consideration, because of the lack of methods with low computational complexity for simulating...
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