FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization

TL;DR

This paper presents the first FPGA implementation of Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE), a contrast enhancement technique that preserves mean brightness better than traditional methods.

Contribution

The paper introduces a novel FPGA implementation of MMBEBHE, addressing the lack of hardware solutions for this specific contrast enhancement method.

Findings

Successful FPGA implementation of MMBEBHE demonstrated

Achieved real-time contrast enhancement performance

Improved mean brightness preservation compared to other HE methods

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.