Saliency Detection Model for Low Contrast Images Based on Amplitude Spectrum Analysis and Superpixel Segmentation

Hua Yang; Xin Xu; Nan Mu

doi:10.1007/978-981-10-3614-9_56

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Saliency Detection Model for Low Contrast Images Based on Amplitude Spectrum Analysis and Superpixel Segmentation

Hua Yang Xin Xu Nan Mu

Year: 2016 Communications in computer and information science Pages: 454-460 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-10-3614-9_56

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Keywords:

Artificial intelligence Contrast (vision) Computer science Pattern recognition (psychology) Computer vision Salient Image (mathematics) Feature extraction Filter (signal processing) Feature (linguistics) Kadir–Brady saliency detector Segmentation Noise (video) Frequency domain Face (sociological concept) Object detection

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Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Saliency Detection Model for Low Contrast Images Based on Amplitude Spectrum Analysis and Superpixel Segmentation

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