On the mathematical foundations of computational photography: The flutter shutter

5^th International Conference and Exhibition on Lasers, Optics & Photonics

November 28-30, 2016 Atlanta, USA

Yohann Tendero

Universit�© Paris-Saclay, France

Posters & Accepted Abstracts: J Laser Opt Photonics

Abstract :

Computational photography is at the junction of algorithms, sensors and modern optics. It aims to create new types of photographs and to allow photographers to acquire better images, new type of images or images we could never observe before. Digital cameras count at each pixel sensor i.e. the number of photons emitted by the observed scene during an interval of time called exposure time. With a passive camera, the only way to safely increase the signal to noise ratio (SNR) is to accumulate more photons by increasing the exposure time. Unfortunately, this also increases the chance of either the camera or the scene moving during the exposure process, resulting in motion blur that severely lessens the SNR of the image. This talk is about a revolutionary camera concept called "flutter shutter". Flutter shutter cameras promised to increase the image quality (SNR) when photographing moving objects. Yet, these new camera designs raise theoretical, practical and numerical questions such as: What is the optimal camera design? Can a flutter shutter indefinitely increase the SNR by an increased exposure time? Is the flutter shutter more efficient depending on the observations conditions (scene lighting, camera-scene velocity, �)? What are the most suitable algorithms to treat the data acquired by these cameras? This talk gives a simple formalism that permits to answer the questions on these recent camera designs. (The theory is also proved to be valid for the "motion invariant photography": the only other competitor of the flutter shutter.)

Biography :

Email: yohann.tendero@telecom-paristech.fr