Fast image super-resolution for a dual-resolution camera

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• 作者：Kuo Chen ; Yueting Chen ; Huajun Feng ; Zhihai Xu
• 关键词：Super ; resolution ; Dual ; sensor ; Dual ; resolution ; Wavelet transform ; Image interpolation
• 刊名：Optical Review
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：22
• 期：3
• 页码：434-442
• 全文大小：9,978 KB
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• 作者单位：Kuo Chen (1)
  Yueting Chen (1)
  Huajun Feng (1)
  Zhihai Xu (1)
  
  1. State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, Zhejiang, 310027, China
  
• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Electromagnetism, Optics and Lasers
  
• 出版者：The Optical Society of Japan, co-published with Springer-Verlag GmbH
• ISSN：1349-9432

文摘

High-spatial resolution and wide field of view (FOV) can be satisfied simultaneously with a dual-sensor camera. A special kind of dual-sensor camera named dual-resolution camera has been designed and manufactured; therefore, a high-resolution image with narrow FOV and another low-resolution image with wide FOV are captured by one shot. To generate a high-resolution image with wide FOV, a fast super-resolution reconstruction is proposed, which is composed of wavelet-based super-resolution and back projection. During wavelet-based super-solution, the high-resolution image captured is used to learn the co-occurrence prior by a linear regression function. At last, low-resolution image is reconstructed based on the learnt co-occurrence prior. Simulation and real experiments are carried out, and three other common super-resolution algorithms are compared. The experimental results show that the proposed method reduces time cost significantly, and achieves excellent performance with high PSNR and SSIM.