Image Demosaicing

Image demosaicing reconstructs a full-color image from the incomplete data captured by a camera's color filter array (CFA) sensor. Current research emphasizes developing efficient and accurate demosaicing methods, particularly focusing on integrating demosaicing with denoising, handling various CFA patterns (including non-Bayer), and leveraging deep learning architectures like convolutional neural networks (CNNs), transformers, and neural fields. These advancements are crucial for improving image quality in various applications, from mobile photography and low-light imaging to hyperspectral imaging for medical and other fields. The development of unsupervised and efficient methods is a key focus to enable real-time processing on resource-constrained devices.