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Best Linear Decoding of Random Mask Images

John W. WoodsLawrence Livermore Laboratory, University of California, Livermore, CA, USAM. P. EkstromLawrence Livermore Laboratory, University of California, Livermore, CA, USAT. M. PalmieriLawrence Livermore Laboratory, University of California, Livermore, CA, USAR.E. TwogoodLawrence Livermore Laboratory, University of California, Livermore, CA, USA
1975en
ABI

Abstract

In 1968 Dicke proposed coded imaging of x and μ rays via random pinholes. Since then, many authors have agreed with him that this technique can offer significant image improvement. We present a best linear decoding of the coded image and show its superiority over the conventional matched filter decoding. Experimental results in the visible light region are presented.

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