| 英文摘要 | During the aircraft flying in the atmosphere with high speed, drastic friction occurs between the aircraft’s optical hood and the high-speed airflow. Complex flow field and temperature field are formed in the vicinity of detection window, producing aero-optical effects. As a result, the images received by the camera on the aircraft are blurring, distorted, or shifting. In order to get the original images and recognize targets precisely, we must correct the distortion and restore the images. Related technologies play an important role in the field of aerospace, aviation, national defense and in many civilian systems, which has important theoretical significance and application prospects. To resolve image blurring, shift and distortion problems happening under aero-optics, this paper does research on distortion correction, image fusion, and image restoration. Due to the complexity of the pneumatic optical flow field and temperature field, complicated distortion and blurring phenomenon happens to the each image obtained by CCD. A single image can’t effectively remove the influence of environmental factors. This paper is based on sequence images, making use of each other’s complementary information to restore a single image. The main work and contributions are as follows: (a) An image registration algorithm based on B-spline and RC image distance has been proposed. Taking into account the non-independence between adjacent pixels, we use RC image distance to substitute traditional image distance such as SSD, MI, based on this new image distance function, use .B-spline based image registration to correct the sequence images. Also, an edge-refining method has been proposed, to deal with sharp edge problem after registration process. By performing 4 group experiments on the SIPI-misc database, it shows that the registration algorithm proposed by this paper can effectively correct the distorted sequence images. (b) An image fusion algorithm based on image quality index has been proposed. Image quality index evaluates image quality from three factors: loss of correlation, luminance distortion, and contrast distortion. Based on image quality index matrix, the fusion process fuses the sequence images to produce an image of rich details Experiments show that this fusion algorithm can recover an image with rich information from degraded sequence images. (c) An overall implementation of restoring image from aero-optics is provided. By modeling the distortion and b... |
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