Multi-exposure imaging on mobile devices

Many natural scenes have a dynamic range that is larger than the dynamic range of a camera's image sensor. A popular approach to producing an image without under- and over-exposed areas is to capture several input images with varying exposure settings, and later merge them into a single high-quality result using offline image processing software. In this paper, we describe a system for creating images of high-dynamic-range (HDR) scenes that operates entirely on a mobile camera. Our system consists of an automatic HDR metering algorithm that determines which exposures to capture, a video-rate viewfinder preview algorithm that allows the user to verify the dynamic range that will be recorded, and a light-weight image merging algorithm that computes a high-quality result directly on the camera. By using our system, a photographer can capture, view, and share images of HDR scenes directly on the camera, without using offline image processing software.

[1]  Radu Ciprian Bilcu,et al.  High dynamic range imaging on mobile devices , 2008, 2008 15th IEEE International Conference on Electronics, Circuits and Systems.

[2]  Frédo Durand,et al.  Noise-optimal capture for high dynamic range photography , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  Marius Tico,et al.  Image enhancement method via blur and noisy image fusion , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[4]  Jan Kautz,et al.  Exposure Fusion , 2007 .

[5]  Greg Ward,et al.  High dynamic range imaging , 2001, SIGGRAPH '04.

[6]  Marc Levoy,et al.  The Frankencamera: an experimental platform for computational photography , 2010, ACM Trans. Graph..

[7]  Richard Szeliski,et al.  High dynamic range video , 2003, ACM Trans. Graph..

[8]  Helge Seetzen,et al.  High-Dynamic Range Displays , 2007 .

[9]  Edward H. Adelson,et al.  The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..