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Intensity exposure-based bi-histogram equalization for image enhancement

Research article (TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2016) · cited 20× · AI/ML
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Intensity exposure-based bi-histogram equalization for image enhancement

Summary

Intensity exposure-based bi-histogram equalization for image enhancement is a scholarly article[1].

Key Facts

  • Intensity exposure-based bi-histogram equalization for image enhancement's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Intensity exposure-based bi-histogram equalization for image enhancement. Retrieved May 24, 2026, from https://4ort.xyz/entity/intensity-exposure-based-bi-histogram-equalization-for-image-enhancement
MLA “Intensity exposure-based bi-histogram equalization for image enhancement.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/intensity-exposure-based-bi-histogram-equalization-for-image-enhancement.
BibTeX @misc{4ortxyz_intensity-exposure-based-bi-histogram-equalization-for-image-enhancement_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Intensity exposure-based bi-histogram equalization for image enhancement}}, year = {2026}, url = {https://4ort.xyz/entity/intensity-exposure-based-bi-histogram-equalization-for-image-enhancement}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Intensity exposure-based bi-histogram equalization for image enhancement — https://4ort.xyz/entity/intensity-exposure-based-bi-histogram-equalization-for-image-enhancement (retrieved 2026-05-24)

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