Iterative Image Deblurring Algorithm using Complementary Pair of Filters

Khetkeeree, Suphongsa; Liangrocapart, Sompong

doi:10.1109/ieecon45304.2019.8939044

Cited by 2 publications

(2 citation statements)

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“…Regarding the algorithm for the non-blind deconvolution, the Richardson-Lucy algorithm (RLA) [13][14][15][16][17][18][19] is well known and has been available to use in the off-the-shelf MATLAB  tool. However, besides authors [20][21][22], there have been very few reports of successful examples for the RSV/RTV distributions.…”

Section: Richardson-lucy Algorithm (Rla) Based Non-blind Deconvolutionmentioning

confidence: 99%

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A Richardson-Lucy Algorithm Based Blind Deconvolution to Decouple the Two Unknown Spatial-Temporal SRAM Margin Variations

Yamauchi

Somha

2023

J. Phys.: Conf. Ser.

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A Richardson-Lucy algorithm (RLA) based blind deconvolution with a new filter design technique was successfully developed. This allowed decoupling and retrieving of the information of the two unknown factors at once for the Random Temporal Variation (RTV) and the Random Spatial Variation (RSV). The variations of SRAM operating voltage (VDDMIN) are caused by the two coupled factors of RTV and RSV. Thus, this decoupling technique is prerequisite for the margin analysis. The designs of the device characteristics and the screening test conditions based on the analysis results were briefly demonstrated. The proposed filter design technique for the RLA based blind deconvolution allowed to circumvent the ill-conditioning ringing phenomena. This gives to enjoy the advantage in convergence speed and simplicity of the RLA. The relative errors of the blind-deconvolution for the RSV and RTV distributions were reduced to less than 0.3% within only 300-iteration cycles compared with the conventional one.

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Section: Richardson-lucy Algorithm (Rla) Based Non-blind Deconvolutionmentioning

confidence: 99%

“…It is noteworthy that the conventional one uses the flipped s (=s^) and t (=t^) for ALG(s) and ALG(t), respectively [13][14][15][16][17][18][19]. This type of filter cannot contribute much towards changing the position.…”

Section: Proposed Filter Design For Alg(s)mentioning

confidence: 99%