Lossless Visible and Infrared Image Coding Based on Multiple Inter-Band Predictors

Imaging devices capable of capturing multiple modalities, such as visible light, depth, and infrared, are increasingly prevalent, necessitating efficient compression methods. Previous research independently compressed depth, infrared, and visible information. In contrast, this study aims to improve the coding efficiency of grayscale images by utilizing infrared images as auxiliary data. This approach employs 20 encoding methods, including 19 prediction methods integrating infrared images. We assume that both the encoder and decoder already have a common infrared image before encoding the grayscale image.