Bayer Pattern

The Bayer pattern is a color filter array used in most digital cameras to capture color information on a single sensor. Current research focuses on improving image quality from Bayer data through advanced demosaicing techniques, often employing deep learning models like convolutional neural networks (CNNs) and transformers, and addressing challenges like noise reduction and super-resolution. These advancements are crucial for enhancing the performance of consumer cameras and other imaging systems, particularly in low-light conditions and for applications requiring high resolution from compact sensors.