Computational Photography

3 units

Computational Photography describes the convergence of computer graphics, computer vision, and the Internet with photography. Its goal is to overcome the limitations of traditional photography using computational techniques to enhance the way we capture, manipulate, and interact with visual media. In this course we will study many interesting, recent image based algorithms and implement them to the degree that is possible. Topics may include: cameras and image formation, human visual perception, image processing (filtering, pyramids), image blending and compositing, image retargeting, texture synthesis and transfer, image completion / inpainting, super-resolution, deblurring, denoising, image based lighting and rendering, high dynamic range, depth and defocus, flash / no flash photography, coded aperture photography, single / multi view reconstruction, photo quality assessment, non photorealistic rendering, modeling and synthesis using Internet data, and others. Pre-requisites: CSE 452A, CSE 554A, or CSE 559A