Blind deconvolution in optical diffusion tomography

作者: Stuart Jefferies , Kathy Schulze , Charles Matson , Kurt Stoltenberg , E. Keith Hege

DOI: 10.1364/OE.10.000046

关键词: Photon diffusionComputer scienceInverse problemBlind deconvolutionDeconvolutionOpticsBackpropagationLight scatteringImage qualityTomography

摘要: We use blind deconvolution methods in optical diffusion tomography to reconstruct images of objects imbedded or located behind turbid media from continuous-wave measurements the scattered light transmitted through media. In particular, we a imaging algorithm determine both deblurred image object and depth inside medium. Preliminary results indicate that produces better reconstructions than can be obtained using backpropagation techniques. Moreover, it does so without requiring prior knowledge characteristics medium what blur-free target should look like: important advances over backpropagation.

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