FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization
This work addresses the need for efficient hardware acceleration of image processing algorithms for real-time applications, though it is incremental as it applies an existing method to a new platform.
The authors tackled the problem of implementing Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE) on an FPGA, achieving a first-time hardware realization for this contrast enhancement technique that conserves mean brightness.
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.