This dialog enables you to remove periodic noise such as striping from imagery by automatically enhancing the Fourier transform of the image. The input image is first divided into overlapping 128-by-128-pixel blocks. The Fourier Transform of each block is calculated and the log-magnitudes of each FFT block are averaged. The averaging removes all frequency domain quantities except those which are present in each block; i.e., some sort of periodic interference. The average power spectrum is then used as a filter to adjust the FFT of the entire image. When the inverse Fourier Transform is performed, the result is an image which should have any periodic noise eliminated or significantly reduced. This method is partially based on the algorithms outlined in (Cannon, Lehar, and Preston, 1983) and (Srinivasan, Cannon, and White, 1988).