Local adaptive image restoration and enhancement with the use of DFT and DCT in a running window

Leonid P. Yaroslavsky

doi:10.1117/12.255218

23 October 1996 Local adaptive image restoration and enhancement with the use of DFT and DCT in a running window

Leonid P. Yaroslavsky

Proceedings Volume 2825, Wavelet Applications in Signal and Image Processing IV; (1996) https://doi.org/10.1117/12.255218
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

On the base of local criteria of processing quality, a class of local adaptive linear filters for image restoration and enhancement is introduced. The filters work in a running window in the domain of DFT of DCT and have O (size of the window) computational complexity thanks to recursive algorithms of running DFT and DCT. The filter design and the recursive computation of running DCT are outlined and filtering for edge preserved noise suppression, blind image restoration and enhancement is demonstrated.

Citation Download Citation

Leonid P. Yaroslavsky "Local adaptive image restoration and enhancement with the use of DFT and DCT in a running window", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); https://doi.org/10.1117/12.255218

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