Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement

By Mary Kim, Min-Gyo Chung. IEEE transactions on consumer electronics, 2008

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An Experiment-Based Review of Low-Light Image Enhancement Methods (2020, methodology): “To illustrate the performance of HE methods on color images, the AMHE [99], BBHE [73], CLAHE [82], DSIHE [74], HE [66], RMSHE [85], RSIHE [92], and WHE [100] algorithms are tested here in both the RGB and HSI color spaces.”
Bi-histogram equalization with a plateau limit for digital image enhancement (2009, background): “Works in [9], [11]-[21] are a few of multi-sections MBPHE.”
Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution (2013, methodology): “As indicated in the description of the RSWHE method, a normalized gamma function can be used to modify each sub-histogram to include multi-equalizations with brightness preservation [13].”
An Underwater Color Image Quality Evaluation Metric (2015, background): “image quality such as entropy [9], [10], brightness [11]–[13], sharpness [14], [15], contrast [14] or colourfulness [16].”