Dual Camera

Dual-camera systems are increasingly used to overcome limitations of single-camera setups, aiming for improved image quality, enhanced functionality, and increased efficiency. Current research focuses on leveraging the complementary information from two cameras through advanced algorithms like deep learning models (e.g., convolutional neural networks) and novel fusion techniques to achieve tasks such as smooth zooming, high-resolution video generation, and improved image denoising and deblurring. These advancements have significant implications for mobile phone photography, robotics, autonomous driving, and other applications requiring high-quality, real-time image processing. The development of efficient and robust dual-camera systems is driving innovation across various fields.