Bi-histogram equalization with a plateau limit for digital image enhancement

By Chen Hee Ooi, Nicholas Sia Pik Kong, Haidi Ibrahim. IEEE transactions on consumer electronics, 2009

297 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/be74e383c7d5245b26a5c821f6689615e4407879

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Arcot Sowmya
2. Xiaohui Yuan
3. Wencheng Wang
4. Zairui Gao
5. Miao Yang
6. Xiaojin Wu
7. Chongyi Li
8. Pamela C. Cosman

Citations in the corpus

• An Experiment-Based Review of Low-Light Image Enhancement Methods (2020, background): “…equalization (DHE) [94], brightness-preserving dynamic histogram equalization (BPDHE) [95], bi-histogram equalization with a plateau limit (BHEPL) [96], median-mean-based subimage-clipped histogram equalization (MMSICHE) [97], exposure-based subimage histogram equalization (ESIHE) [98],…”
• 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].”