Enhancement of Infrared Image Processing by CDR Technique

Abstract

Infrared technology's significant advancements have sparked revolutionary transformations in the scientific, technological, military, industrial, and medical sectors. These advancements have reshaped industries, leading to groundbreaking developments and applications, impacting various fields profoundly and paving the way for innovative solutions and enhanced capabilities across diverse domains. Despite considerable advancements, persistent challenges arise from sensor output response errors due to faulty hardware in infrared sensors and limitations in manufacturing processes. These obstacles hinder progress despite notable strides in technology. These challenges adversely affect the quality of infrared images, necessitating remedial measures. In response, a corrective strategy is proposed, focusing on adjusting the gray-scale dynamic range. This innovative compensation algorithm leverages a technique that enhances image intricacies through gray-level dynamic range compensation. Comparative analysis demonstrates its superior efficacy in image enhancement compared to traditional methods, showcasing its ability to address common issues in infrared imaging effectively. Such advancements significantly contribute to enhancing clarity and reliability in critical domains where precision and accuracy are paramount.