Sensing and Processing for Infrared Vision: Methods and Applications.

This Special Issue covers a broad range of topics in infrared (IR) vision technology, including novel sensing techniques, advanced signal processing algorithms, and innovative applications. The papers in this Special Issue are as follows: Fractal Texture Enhancement of Simulated Infrared Images Using a CNN-Based Neural Style Transfer Algorithm with a Histogram Matching Technique [[1]]: This paper proposes a novel convolutional neural network (CNN)-based infrared image enhancement method to transform pseudo-realistic regions of simulation-based infrared images into real infrared texture. Dear readers and fellow researchers, I am pleased to introduce this Special Issue of I Sensors i , entitled "Sensing and Processing for Infrared Vision: Methods and Applications". [Extracted from the article]