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A-law/Mu-law Dynamic Range Compression Deconvolution (Preprint)

In this paper the A-law/Mu-law Dynamic Range Compression algorithm used in telecommunication systems is proposed for the first time for nonlinear Dynamic Range Compression image restoration of blurred signals embedded in very high noise environment. Our simulation results demonstrate that the dynamic range compression image deconvolution via the A-law/Mu-law outperforms image restoration based on the well-established image restoration filters that have been used for the last fifty years such as Wiener filter and Inverse filter. The deconvolution orders have been analyzed using the nonlinear transform method.

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  • "In this paper the A-law/Mu-law Dynamic Range Compression algorithm used in telecommunication systems is proposed for the first time for nonlinear Dynamic Range Compression image restoration of blurred signals embedded in very high noise environment. Our simulation results demonstrate that the dynamic range compression image deconvolution via the A-law/Mu-law outperforms image restoration based on the well-established image restoration filters that have been used for the last fifty years such as Wiener filter and Inverse filter. The deconvolution orders have been analyzed using the nonlinear transform method."@en

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  • "A-law/Mu-law Dynamic Range Compression Deconvolution (Preprint)"@en

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