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An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria

Research article (International Journal of Advanced Robotic Systems, 2018) · cited 12× · AI/ML
academia openalex:W2811147135
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An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria

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An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria is a scholarly article[1].

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  • An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-nonlocal-sparse-regularization-based-image-deblurring-via-novel-similarity-criteria
MLA “An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-nonlocal-sparse-regularization-based-image-deblurring-via-novel-similarity-criteria.
BibTeX @misc{4ortxyz_an-improved-nonlocal-sparse-regularization-based-image-deblurring-via-novel-similarity-criteria_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-nonlocal-sparse-regularization-based-image-deblurring-via-novel-similarity-criteria}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria — https://4ort.xyz/entity/an-improved-nonlocal-sparse-regularization-based-image-deblurring-via-novel-similarity-criteria (retrieved 2026-05-24)

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