Real-time underwater image enhancement: An improved approach for imaging with AUV-150

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• 作者：JEET BANERJEE ; RANJIT RAY ; SIVA RAM KRISHNA VADALI ; SANKAR NATH SHOME…
• 关键词：Underwater image enhancement ; anisotropic diffusion ; color cast ; CLAHE ; linear and non ; linear filters.
• 刊名：Sadhana
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：41
• 期：2
• 页码：225-238
• 全文大小：2,016 KB
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• 作者单位：JEET BANERJEE (1)
  RANJIT RAY (2)
  SIVA RAM KRISHNA VADALI (2)
  SANKAR NATH SHOME (2)
  SAMBHUNATH NANDY (2)
  
  1. School of Mechatronics, CSIR-Central Mechanical Engineering Research Institute, Durgapur, 713209, India
  2. Robotics and Automation Division, CSIR-Central Mechanical Engineering Research Institute, Durgapur, 713209, India
  
• 刊物类别：Engineering
• 刊物主题：Engineering, general
  
• 出版者：Springer India, in co-publication with Indian Academy of Sciences
• ISSN：0973-7677

文摘

An RGB YCbCr Processing method (RYPro) is proposed for underwater images commonly suffering from low contrast and poor color quality. The degradation in image quality may be attributed to absorption and backscattering of light by suspended underwater particles. Moreover, as the depth increases, different colors are absorbed by the surrounding medium depending on the wavelengths. In particular, blue/green color is dominant in the underwater ambience which is known as color cast. For further processing of the image, enhancement remains an essential preprocessing operation. Color equalization is a widely adopted approach for underwater image enhancement. Traditional methods normally involve blind color equalization for enhancing the image under test. In the present work, processing sequence of the proposed method includes noise removal using linear and non-linear filters followed by adaptive contrast correction in the RGB and YCbCr color planes. Performance of the proposed method is evaluated and compared with three golden methods, namely, Gray World (GW), White Patch (WP), Adobe Photoshop Equalization (APE) and a recently developed method entitled “Unsupervised Color Correction Method (UCM)”. In view of its simplicity and computational ease, the proposed method is recommended for real-time applications. Suitability of the proposed method is validated by real-time implementation during the testing of the Autonomous Underwater Vehicle (AUV-150) developed indigenously by CSIR-CMERI.