Dynamic range compression deconvolution using A-law and &#956;-law algorithms

Bahareh Haji-saeed; Sandip K. Sengupta; William D. Goodhue; Jed Khoury; Charles L. Woods; John Kierstead

doi:10.1117/12.719585

9 April 2007 Dynamic range compression deconvolution using A-law and μ-law algorithms

Bahareh Haji-saeed, Sandip K. Sengupta, William D. Goodhue, Jed Khoury, Charles L. Woods, John Kierstead

Proceedings Volume 6574, Optical Pattern Recognition XVIII; 65740D (2007) https://doi.org/10.1117/12.719585
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Bahareh Haji-saeed, Sandip K. Sengupta, William D. Goodhue, Jed Khoury, Charles L. Woods, and John Kierstead "Dynamic range compression deconvolution using A-law and μ-law algorithms", Proc. SPIE 6574, Optical Pattern Recognition XVIII, 65740D (9 April 2007); https://doi.org/10.1117/12.719585

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