The authors identify an experimental diffusion kernel from uncorrected CAL prints and co-optimize it with CT blur to improve print fidelity over simple deconvolution pre-compensation.
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Co-optimization of Diffusive and Tomographic Blur in Computed Axial Lithography via Experimental Kernel Identification
The authors identify an experimental diffusion kernel from uncorrected CAL prints and co-optimize it with CT blur to improve print fidelity over simple deconvolution pre-compensation.