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- W2041270422 abstract "Image capturing by CCD/CMOS cameras is encumbered with two fundamental perturbing influences. Time invariant blurring(image convolution with fixed kernel) and time variant noises. Both of these influences can be successfully eliminatedby the iterative detection networks (IDNs), that effectively and suboptimally (iteratively) solve 2D MAP criterion throughthe image decomposition to the small areas. Preferably to the individual pixel level, if this allows the noise distribution (statisticallyindependent noise). Nevertheless, this task is so extremely numerically exacting and therefore the contemporaryIDNs are limited only for restorations of dichromatic images.The IDNs are composed of certain, as simple as possible, statistical devices (SISO modules) and can be separated into twobasic groups with variable topology (exactly matched to the blurring kernel) and with fixed topology, same for all possiblekernels. The paper deals with second group of IDNs, concretely with IDNs whose SISO modules are concatenated inthree directions (horizontal, vertical and diagonal). Advantages of such ordering rests in the application flexibility (can becomfortable applied to many irregular cores) and also in the low exigencies to number of memory devices it the IDN. Thementioned IDN type will be implemented in the two different variants suppressing defocusing in the lens of CCD/CMOSsensing system and will be verified in the sphere of a dichromatic 2D barcode detection." @default.
- W2041270422 created "2016-06-24" @default.
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- W2041270422 date "2009-08-20" @default.
- W2041270422 modified "2023-09-23" @default.
- W2041270422 title "Restoration of dichromatic images gained from CCD/CMOS camera by iterative detection networks with fragmented marginalization at the symbol block level" @default.
- W2041270422 doi "https://doi.org/10.1117/12.825796" @default.
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