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首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Superresolved image reconstruction of images taken through the turbulent atmosphere
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Superresolved image reconstruction of images taken through the turbulent atmosphere

机译:通过湍流大气拍摄的图像的超分辨图像重建

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Received January 5, 1998; revised manuscript received June 12, 1998; accepted June 15, 1998 Superresolved image reconstruction is demonstrated by use of multiple images taken through atmospheric turbulence under photon-Limited conditions. An iterative reconstruction algorithm applies estimate-maximize techniques to a series of short-exposure images of the desired object scene along with the corresponding image sequence of a guide star. Simulations show that estimates of the Fourier components both below and above the diffraction limit are improved at successive iterations. The estimated images give finer detail of the original object than does the diffraction-limited image. Effects of photon-noise levels on restoration performance are investigated, and a modification to the reconstruction algorithm is derived that accounts for the effects of CCD read noise. # 1998 Optical Society of America [S0740-3232(98)01610-X] OCIS codes: 100.6640, 110.3010, 110.3020, 280.7060, 290.1310, 350.1260.
机译:1998年1月5日收到; 1998年6月12日收到修改后的手稿; 1998年6月15日被接受通过在光子有限的条件下使用通过大气湍流拍摄的多个图像来演示超分辨图像重建。迭代重建算法将估计最大化技术应用于所需目标场景的一系列短曝光图像以及引导星的相应图像序列。仿真表明,在连续迭代中,衍射极限以下和以上的傅立叶分量的估计都得到了改善。估计的图像比衍射极限图像提供了更好的原始对象细节。研究了光子噪声水平对恢复性能的影响,并推导了对重建算法的修正,该修正考虑了CCD读取噪声的影响。 #1998美国光学学会[S0740-3232(98)01610-X] OCIS代码:100.6640、110.3010、110.3020、280.7060、290.1310、350.1260。

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