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Everything about Adaptive histogram equalization
Computer image processing technique
Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image. It is therefore suitable for improving the local contrast and enhancing the definitions of edges in each region of an image. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Adaptive histogram equalizationA 5-minute orientation
- Skim a recent paper: Contrast Limited Adaptive Histogram Equalization for Recognizing Road Marking at Night Based on Yolo ModelsInfluential work since 2022
- Pick up a classic book: Medical image analysisThe most-reprinted book on the subject
- Read the landmark paper: Adaptive histogram equalization and its variationsCited 3,622 times
- Go sideways: Histogram equalizationA closely related topic
- Go sideways: Histogram matchingA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Adaptive histogram equalization and its variations
Adaptive image contrast enhancement using generalizations of histogram equalization
Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering
Automatic Contrast-Limited Adaptive Histogram Equalization With Dual Gamma Correction
Adaptive contrast enhancement using gain-controllable clipped histogram equalization
Regionally Adaptive Histogram Equalization of the Chest
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization
Multidimensional Contrast Limited Adaptive Histogram Equalization
🆕 Influential since 2022
Contrast Limited Adaptive Histogram Equalization for Recognizing Road Marking at Night Based on Yolo Models
Histogram modification in adaptive bi-histogram equalization for contrast enhancement on digital images
Contrast Limited Adaptive Local Histogram Equalization Method for Poor Contrast Image Enhancement
Evaluation of histogram equalization and contrast limited adaptive histogram equalization effect on image quality and fractal dimensions of digital periapical radiographs
Image sub-division and quadruple clipped adaptive histogram equalization (ISQCAHE) for low exposure image enhancement
📚 Books worth reading
Medical image analysisAtam P. Dhawan · 2010
Information HidingMatthias Kirchner · 2013- 📕Effectiveness of Contrast Limited Adaptive Histogram Equalization on Multispectral Satellite ImageryVidhya Ganesh Rangarajan · 2018
Pattern recognition and image analysisEarl Gose · 1996
IMPACTS OF RURAL ELECTRIFICATION IN RWANDA · 2015
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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