FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images

Published in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

This paper proposes an FFT-based method to select and optimize statistical features, enhancing the recognition of images with severe corruptions.

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