NVIDIA's Mobile Computational Photography Architecture


Ricardo Motta


Please LOG IN to view the video.

Date: 3/9/2013


Chimera, NVIDIA’s computational photography architecture, was created to increase the flexibility of camera image processing pipelines and support new capture methods. This flexibility has become essential for the support of new sensors, including multi-camera and plenoptic methods, for many new bayer space algorithms, such as HDR and non-local means noise reduction, as well for post-demosaic algorithms such as image merging and local tone mapping. Chimera achieves this flexibility by creating a simplified framework to mix and match the ISP, the GPU and the CPU, allowing, for example, the GPU to be used in bayer space before the ISP for noise reduction, and the CPU after the ISP for scaling. In this talk we will discuss how the evolution of sensors and capture methods are shaping mobile imaging, and provide an overview of Chimera and the Always-on-HDR method.

Created: Wednesday, April 10th, 2013