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Wiener deconvolution
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<p>In <a href="/facts/Mathematics/pxTouaz4">mathematics</a>, Wiener deconvolution is an application of the <a href="/facts/Wiener_filter/oGWdBTYa">Wiener filter</a> to the <a href="/facts/Noise/aUstHDqU">noise</a> problems inherent in <a href="/facts/Deconvolution/Q5ECQykB">deconvolution</a>. It works in the <a href="/facts/Frequency_domain/pyTVrUSq">frequency domain</a>, attempting to minimize the impact of deconvolved noise at frequencies which have a poor <a href="/facts/Signal-to-noise_ratio/qohClhyG">signal-to-noise ratio</a>. </p><p>The Wiener deconvolution method has widespread use in <a href="/facts/Image/hbjEdTXK">image</a> deconvolution applications, as the frequency spectrum of most visual images is fairly well behaved and may be estimated easily. </p><p>Wiener deconvolution is named after <a href="/facts/Norbert_Wiener/cVMRAHCU">Norbert Wiener</a>. </p>