Histogram Equalization Algorithm Based on Guided Stratification Infrared Image Enhancement Algorithm
Year: 2024
Type: conference-paper
Abstract: Infrared images have the disadvantages of low contrast and being greatly affected by the environment. To address these issues, the article proposes an image enhancement algorithm based on an improved layered dual-histogram equalization method. The image first undergoes bilateral filtering for denoising. The denoised image is then processed using guided filtering for layering, dividing it into a detail layer and a background layer. For the background layer, an improved dual-histogram equalization method is applied to enhance the overall contrast. For the detail layer, bilateral processing is used to suppress noise. Then, introduce secondary noise suppression based on the mean of non-zero pixel value as a threshold. Gamma mapping is applied to the detail layer. Finally, the processed background and detail layers are fused. The algorithm effectively suppresses noise in infrared images and enhances contrast, with a 2.1 improvement in the contrast index.
Authors: Keqing Ning, Haonan Gao, Wei Song, Na Xing, Guanyuan Li
Institution: North China University of Technology
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409832730