A saliency detection model using low-level features based on wavelet transform

• Main Authors: İmamoğlu, Nevrez, Lin, Weisi, Fang, Yuming
• 其他作者: School of Computer Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• 在線閱讀: https://hdl.handle.net/10356/106965; http://hdl.handle.net/10220/17743
• 機構: Nanyang Technological University

Researchers have been taking advantage of visual attention in various image processing applications such as image retargeting, video coding, etc. Recently, many saliency detection algorithms have been proposed by extracting features in spatial or transform domains. In this paper, a novel saliency de...