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ZTE Communications ›› 2013, Vol. 11 ›› Issue (1): 41-43.

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An Improved Color Cast Detection Method Based on an AB-Chromaticity Histogram

Ping Lu, Xia Jia, and Tirui Wu   

  1. Pre-Research Department of ZTE Corporation, Nanjing 210012, China
  • 收稿日期:2013-01-21 出版日期:2013-03-25 发布日期:2013-03-25
  • 作者简介:Ping Lu (lu.ping@zte.com.cn) graduated from South East University, China, majoring in automatic control theory and applications. He is the chief executive officer of the Service Institute of ZTE Corporation. For more than a decade, he has steered the institute towards innovative research and development of value added services, cloud computing, Internet services, ICT services, and home network services.

    Xia Jia recieved her MS degree in automatic control theory from Dalian University of Technology, China, in 2001. She joined ZTE Corporation and is now the project manager of multimedia technology research. Her main fields of research are IPTV, OTT, video conferencing, and augmented reality.

    Tirui Wu received his MS degree in computer science and technology from Jiangsu University of Science and Technology, China, in 2009. In 2010, he joined ZTE Corporation R&D. His main research interests include image enhancement, pattern recognition, and human computer interaction.

An Improved Color Cast Detection Method Based on an AB-Chromaticity Histogram

Ping Lu, Xia Jia, and Tirui Wu   

  1. Pre-Research Department of ZTE Corporation, Nanjing 210012, China
  • Received:2013-01-21 Online:2013-03-25 Published:2013-03-25
  • About author:Ping Lu (lu.ping@zte.com.cn) graduated from South East University, China, majoring in automatic control theory and applications. He is the chief executive officer of the Service Institute of ZTE Corporation. For more than a decade, he has steered the institute towards innovative research and development of value added services, cloud computing, Internet services, ICT services, and home network services.

    Xia Jia recieved her MS degree in automatic control theory from Dalian University of Technology, China, in 2001. She joined ZTE Corporation and is now the project manager of multimedia technology research. Her main fields of research are IPTV, OTT, video conferencing, and augmented reality.

    Tirui Wu received his MS degree in computer science and technology from Jiangsu University of Science and Technology, China, in 2009. In 2010, he joined ZTE Corporation R&D. His main research interests include image enhancement, pattern recognition, and human computer interaction.

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摘要： AB-chromaticity histogram analysis works well most of the time, but it may not work well when the color cast is not severe. To overcome this problem, we propose an improved, two-step automatic cast-detection method. First, we compute the RGB color variance to evaluate the quality of the input image. If this variance is very small, we extract near-neutral color areas and compute the local ab-chromaticity histogram. We use this local ab-chromaticity histogram to evaluate the quality of the input image. This method has been tested in ZTE’s video surveillance system. The results show that the proposed method produces better results based on subjective evaluation and is more efficient in various conditions.

关键词: color cast, AB-chromaticity histogram, near-neutral color areas

Abstract: AB-chromaticity histogram analysis works well most of the time, but it may not work well when the color cast is not severe. To overcome this problem, we propose an improved, two-step automatic cast-detection method. First, we compute the RGB color variance to evaluate the quality of the input image. If this variance is very small, we extract near-neutral color areas and compute the local ab-chromaticity histogram. We use this local ab-chromaticity histogram to evaluate the quality of the input image. This method has been tested in ZTE’s video surveillance system. The results show that the proposed method produces better results based on subjective evaluation and is more efficient in various conditions.

Key words: color cast, AB-chromaticity histogram, near-neutral color areas