Home ›
Entities
› academia
› A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront
A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront
Research article (Quantitative Phase Imaging IV, 2018) · cited 18× · AI/ML
A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront
Summary
A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront is a scholarly article[1].
Key Facts
A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-robust-holographic-autofocusing-criterion-based-on-edge-sparsity-comparison-of-gini-index-and-tamura-coefficient-for-h
MLA“A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-robust-holographic-autofocusing-criterion-based-on-edge-sparsity-comparison-of-gini-index-and-tamura-coefficient-for-h.
BibTeX@misc{4ortxyz_a-robust-holographic-autofocusing-criterion-based-on-edge-sparsity-comparison-of-gini-index-and-tamura-coefficient-for-h_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront}}, year = {2026}, url = {https://4ort.xyz/entity/a-robust-holographic-autofocusing-criterion-based-on-edge-sparsity-comparison-of-gini-index-and-tamura-coefficient-for-h}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefront — https://4ort.xyz/entity/a-robust-holographic-autofocusing-criterion-based-on-edge-sparsity-comparison-of-gini-index-and-tamura-coefficient-for-h (retrieved 2026-05-24)