English

FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization

Computer Vision and Pattern Recognition 2020-03-03 v1 Hardware Architecture Image and Video Processing

Abstract

Histogram Equalization (HE) is a popular method for contrast enhancement. Generally, mean brightness is not conserved in Histogram Equalization. Initially, Bi-Histogram Equalization (BBHE) was proposed to enhance contrast while maintaining a the mean brightness. However, when mean brightness is primary concern, Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE) is the best technique. There are several implementations of Histogram Equalization on FPGA, however to our knowledge MMBEBHE has not been implemented on FPGAs before. Therefore, we present an implementation of MMBEBHE on FPGA.

Cite

@article{arxiv.2003.00840,
  title  = {FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization},
  author = {Abhishek Saroha and Avichal Rakesh and Rajiv Kumar Tripathi},
  journal= {arXiv preprint arXiv:2003.00840},
  year   = {2020}
}
R2 v1 2026-06-23T14:00:12.086Z