All-in-focus and multi-focus color image reconstruction from a database of color and depth image pairs

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• 作者：Seung-Won Jung ; Jong Hyuk Park ; Young-Sik Jeong
• 关键词：All ; in ; focus ; Defocus blur ; Depth image ; Image refocus ; Multi ; focus
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：75
• 期：23
• 页码：15493-15507
• 全文大小：14,958 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721
• 卷排序：75

文摘

Owing to recent advances in depth sensors and computer vision algorithms, depth images are often available with co-registered color images. In this paper, we propose a simple but effective method for obtaining an all-in-focus (AIF) color image from a database of color and depth image pairs. Since the defocus blur is inherently depth-dependent, the color pixels are first grouped according to their depth values. The defocus blur parameters are then estimated using the amount of the defocus blur of the grouped pixels. Given a defocused color image and its estimated blur parameters, the AIF image is produced by adopting the conventional pixel-wise mapping technique. In addition, the availability of the depth image disambiguates the objects located far or near from the in-focus object and thus facilitates image refocusing. We demonstrate the effectiveness of the proposed algorithm using both synthetic and real color and depth images.