Applications of the fractional Fourier transform
نویسنده
چکیده
Images are widely used to convey information in an easy to understand format; however, the conventional representation of an image as 3 channels per pixel per image creates difficulty in implementing certain widely used classes of algorithms. In this paper, we summarize two different applications of the fractional Fourier transform, which transforms the representation of the data in the image and therefore allows us to perform novel techniques in this new domain. This allows for effective and efficient solutions to problems that were difficult or inefficient to solve previously.
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تاریخ انتشار 2014