What are the applications of FFT in image analysis?
FFT, or Fast Fourier Transform, is widely used in image analysis for tasks like image filtering, compression, and feature extraction.
Can you explain how FFT helps in image filtering?
Sure! FFT transforms an image into the frequency domain, allowing us to filter out unwanted frequencies and enhance important features.
What about image compression? How does FFT contribute to that?
FFT helps in image compression by representing the image in terms of its frequency components, allowing for efficient storage by discarding less significant frequencies.
Are there any specific applications in medical imaging?
Yes, in medical imaging, FFT is used in techniques like MRI and CT scans to reconstruct images from raw data, improving diagnostic accuracy.
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