Dynamic range compression deconvolution using A-law and μ-law algorithms
2007
In this paper the A-law/μ-law Dynamic Range Compression algorithm used in telecommunication systems is proposed
for the first time for nonlinear Dynamic Range Compression image deconvolution. In the proposed setup, a joint image
of the blurred input information and the blur impulse response are jointly Fourier-transformed via a lens to a CCD
camera which acts as a square-law receiver. The CCD camera is responsible for mixing the Fourier transforms of the
impulse response and the distorted image to compensate for the phase distortion and then the A-law/μ-law nonlinear
transformation is responsible for enhancing both the high frequencies and the signal-to-noise ratio. The proposed
technique is supported by computer simulation.
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