Volume 42 Issue 1
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Hong Hanyu, Li Liangcheng, Zhang Xiuhua, Yan Luxin, Zhang Tianxu. Versatile restoration and experimental verification for multi-wave band image of object detection[J]. Infrared and Laser Engineering, 2013, 42(1): 251-255.
Citation: Hong Hanyu, Li Liangcheng, Zhang Xiuhua, Yan Luxin, Zhang Tianxu. Versatile restoration and experimental verification for multi-wave band image of object detection[J]. Infrared and Laser Engineering, 2013, 42(1): 251-255.

Versatile restoration and experimental verification for multi-wave band image of object detection

  • Received Date: 2012-05-22
  • Rev Recd Date: 2012-06-19
  • Publish Date: 2013-01-25
  • To solve the problem of restoration and clearness for multi-wave band images in object detection, a novel versatile restoration method was proposed, which was applicable for the restoration of multi-wave band images in object detection captured by imaging devices installed on missile, aerocraft or satellite. Some prior knolwedge was not needed in use of the proposed method about modes and models of degraded images. In this method, only some information of images was used, the minimization criterion function was constructed in regard to point spread function constrained by non-negative least square spatial smoothness, the optimization method was used to solve for the PSF, and the degraded images were restorated by non-blind image restoration method. The proposed method was verified by inputting a number of real images. The experimetal results show that the proposed method overcome some disadvantages of the exist image restoration methods such as non-versatility, good result to synthesized images, poor result to real images, time-consuming and so on. The proposed method can recover infrared, visible and millimeter-wave multi-wave band images without knowing the prior knolowdge. When inputing an image, the system output a clear image quickly. The proposed method was effective for the restoration of multi-wave band images in object detection system.
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Versatile restoration and experimental verification for multi-wave band image of object detection

  • 1. Laboratory for Image Processing and Intelligent Control,Wuhan Institute of Technology,Wuhan 430074,China;
  • 2. Institute for Pattern Recognition and Artificial Intelligent,Huazhong University of Science and Technology,Wuhan 430074,China

Abstract: To solve the problem of restoration and clearness for multi-wave band images in object detection, a novel versatile restoration method was proposed, which was applicable for the restoration of multi-wave band images in object detection captured by imaging devices installed on missile, aerocraft or satellite. Some prior knolwedge was not needed in use of the proposed method about modes and models of degraded images. In this method, only some information of images was used, the minimization criterion function was constructed in regard to point spread function constrained by non-negative least square spatial smoothness, the optimization method was used to solve for the PSF, and the degraded images were restorated by non-blind image restoration method. The proposed method was verified by inputting a number of real images. The experimetal results show that the proposed method overcome some disadvantages of the exist image restoration methods such as non-versatility, good result to synthesized images, poor result to real images, time-consuming and so on. The proposed method can recover infrared, visible and millimeter-wave multi-wave band images without knowing the prior knolowdge. When inputing an image, the system output a clear image quickly. The proposed method was effective for the restoration of multi-wave band images in object detection system.

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