A simple gray-edge automatic white balance method with FPGA implementation

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• 作者：Xin Tan ; Shiming Lai ; Bin Wang ; Maojun Zhang…
• 关键词：Automatic white balance ; Gray ; edge ; Real ; time capability ; FPGA
• 刊名：Journal of Real-Time Image Processing
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：10
• 期：2
• 页码：207-217
• 全文大小：2,589 KB
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• 作者单位：Xin Tan (1)
  Shiming Lai (1)
  Bin Wang (1)
  Maojun Zhang (1)
  Zhihui Xiong (1)
  
  1. School of Information Systems and Management, National University of Defense Technology, Changsha, 410073, China
  
• 刊物类别：Computer Science
• 刊物主题：Image Processing and Computer Vision
  Multimedia Information Systems
  Computer Graphics
  Pattern Recognition
  Signal,Image and Speech Processing
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1861-8219

文摘

Automatic white balance is one of the most important functions in digital cameras. In addition to effectively correct color bias, the automatic white balance technology should also be fit for resource-constrained hardware and meet its real-time requirements. Based on gray-edge hypothesis, this paper proposes a simple automatic white balance method using image horizontal down-sampling with the averaging filter and horizontal first-order difference on Bayer image, and discusses its algorithm flow on FPGA. The test results show that the proposed method can correct image color bias powerfully. Moreover, the analysis of resource usage on FPGA indicates that the method consumes less hardware resource and achieves high real-time capability, and its parameter selection is unrelated with resource consumption.