Rolling Guidance Filter

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• 作者：Qi Zhang (19)
  Xiaoyong Shen (19)
  Li Xu (20)
  Jiaya Jia (19)
  
• 关键词：Image filter ; scale ; aware processing ; edge preserving
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8691
• 期：1
• 页码：815-830
• 全文大小：4,481 KB
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• 作者单位：Qi Zhang (19)
  Xiaoyong Shen (19)
  Li Xu (20)
  Jiaya Jia (19)
  
  19. The Chinese University of Hong Kong, Hong Kong
  20. Image & Visual Computing Lab, Lenovo R&T, Hong Kong
  
• ISSN：1611-3349

文摘

Images contain many levels of important structures and edges. Compared to masses of research to make filters edge preserving, finding scale-aware local operations was seldom addressed in a practical way, albeit similarly vital in image processing and computer vision. We propose a new framework to filter images with the complete control of detail smoothing under a scale measure. It is based on a rolling guidance implemented in an iterative manner that converges quickly. Our method is simple in implementation, easy to understand, fully extensible to accommodate various data operations, and fast to produce results. Our implementation achieves realtime performance and produces artifact-free results in separating different scale structures. This filter also introduces several inspiring properties different from previous edge-preserving ones.