11 March 2005 An efficient multiresolution algorithm for compensating density-dependent media blurring
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The sharpness of a printed image may suffer due to the presence of material layers above and below the dye layers. These layers contribute to scattering and surface reflections that make the degradation in sharpness density-dependent. We present data that illustrate this effect, and model the phenomenon numerically. A digital non-linear sharpening filter is proposed to compensate for this density-dependent blurring. The support and shape of this filter is constrained to lie in a space spanned by a set of basis filters that can be computed efficiently. Burt and Adelson's Laplacian pyramid is used to develop an efficient scale-recursive algorithm in which the image is decomposed into the high-pass basis images in a fine-to-coarse scale sweep, and the sharpened image along with a local density image is subsequently synthesized by a coarse-to-fine scale sweep using these basis images. The local density image is employed, in combination with a scale dependent gain function, to modulate the high-pass basis images in a space-varying fashion. A robust method is proposed for the estimation of the gain functions directly from measured data. Experimental results demonstrate that the proposed algorithm successfully compensates for media-related density dependent blurring.
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Suhail S. Saquib, Suhail S. Saquib, William T. Vetterling, William T. Vetterling, } "An efficient multiresolution algorithm for compensating density-dependent media blurring", Proc. SPIE 5674, Computational Imaging III, (11 March 2005); doi: 10.1117/12.586034; https://doi.org/10.1117/12.586034

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