An efficient image denoising method based on principal component analysis with learned patch groups

Research article (Signal Image and Video Processing, 2019) · cited 26× · AI/ML
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An efficient image denoising method based on principal component analysis with learned patch groups

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An efficient image denoising method based on principal component analysis with learned patch groups is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient image denoising method based on principal component analysis with learned patch groups. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-image-denoising-method-based-on-principal-component-analysis-with-learned-patch-groups
MLA “An efficient image denoising method based on principal component analysis with learned patch groups.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-image-denoising-method-based-on-principal-component-analysis-with-learned-patch-groups.
BibTeX @misc{4ortxyz_an-efficient-image-denoising-method-based-on-principal-component-analysis-with-learned-patch-groups_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient image denoising method based on principal component analysis with learned patch groups}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-image-denoising-method-based-on-principal-component-analysis-with-learned-patch-groups}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient image denoising method based on principal component analysis with learned patch groups — https://4ort.xyz/entity/an-efficient-image-denoising-method-based-on-principal-component-analysis-with-learned-patch-groups (retrieved 2026-05-24)

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