论文标题
FPGA实施最小平均亮度误差双 - 固定图均衡
FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization
论文作者
论文摘要
直方图均衡（HE）是对比度增强的流行方法。通常，平均亮度在直方图均衡中不能保守。最初，提出了双 - 固定图均衡（BBHE）以增强对比度，同时保持平均亮度。但是，当平均亮度是主要问题时，最小平均亮度误差双 - 固定图均衡（MMBEBHE）是最佳技术。 FPGA上有几种直方图均衡的实现，但是据我们所知，MMBEBHE以前尚未在FPGA上实施。因此，我们在FPGA上介绍了MMBEBHE的实现。
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.
