Dual-Layer Lossless Coding for Infrared Video

Hui-Shan Hsiao, Wen-Hsien Shih, Jui-Chiu Chiang, Wen-Nung Lie

Abstract: Conventional natural image/video is targeted for entertainment and some distortion is allowed for the decoded data. For infrared imagery, lossless coding is needed for some specified applications, where analysis over the content is always realized, such as military and medical applications. In this paper, we propose a bit-depth scalable coding scheme, where lossy compression is applied to the base layer while lossless compression is to the enhancement layer. Through the usage of deep residual learning, an improved inter-layer prediction is obtained. Experiment results show that the proposed scheme not only provides the flexibility by offering two kinds of content depending on the request, it also achieves up to 3.26% bitrate reduction compared to the single-layer lossless coding scheme.