The Dim Light And False Color Infrared Image Fusion And Processing Algorithms

In this dissertation, on the base of analysis on low-level-light (LLL) and infrared (IR) image character and also taking into account of chromatics and real-time processing, a number of theoretic algorithms of false color fusion and pre-processing on LLL and IR images are explored. In the technique of pre-processing on night vision images, such algorithms as image registration, non-uniformity correction, image enhancement are mainly studied and realized. An innovatory algorithm of full-scale non-uniformity correction on IR images is presented and an arithmetical progression histogram equalization algorithm in the enhancement of image is validated and developed in this dissertation. In the technique of fusion on night vision images, reformative algorithms of false color fusion on LLL and IR images and a series of derivative algorithms are put forward. Thought software emulation and practical experiment, the fusion effects are more excellent than those of the original algorithms.