Work

FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization

Year: 2020

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2003.00840

Authors: Saroha, Abhishek, Rakesh, Avichal, Tripathi, Rajiv Kumar

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3007952376

Cites: 6

Cited by: 1

Related to: 10