Image/video restoration in ill lighting conditions

与视觉对人类大脑的重要性相匹配，所有类型和大小的数字图像是大多数智能设备和系统（如智能手机、智能汽车、智能城市等）输入和输出的主要形式。数码图像的无处不在是现代科技社会和知识经济的一个标志。在这个项目中，我们将研究先进的算法来恢复和增强在不利条件下获得的图像/视频，如低照度，背光，相机运动等。主要目标是通过复杂的图像处理和机器学习算法使图像质量超过原始半导体图像传感器的质量（例如清晰度，动态范围，分辨率）。由此产生的新技术将被我们的工业合作伙伴华为技术加拿大有限公司用于其下一代产品（例如智能手机）和云服务。通过麦克马斯特与华为的合作和技术转让，NSERC的CRD项目将有助于提高加拿大IT行业的竞争力，培养高素质人才。

Matching the importance of vision to the human brain, digital images of all types and sizes are the dominant form of inputs and outputs in most intelligent devices and systems, such as smart phones, smartcars, smart cities, etc. The ubiquity of digital imageries is a landmark of modern technological societies and knowledge-based economies. In this project we will research on advanced algorithms to restore and enhance images/videos acquired in adverse conditions, such as low illumination, backlighting, camera motions, etc. The main objective is to make image quality exceed the quality (e.g., clarity, dynamic range, resolution) of raw semiconductor image sensors by sophisticated image processing and machine learning algorithms. Theresulting new techniques will be adopted by our industrial partner, Huawei Technologies Canada Co. , LTD., in their next generation products (e.g., smart phones) and cloud services. Through the McMaster-Huawei collaborations and the technology transfer, this NSERC CRD project will contribute to the the competitiveness of Canadian IT industry and the training of highly qualified personnel.