Paper Info
Title
Multi-exposure imaging on mobile devices (demo)
Abstract
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. We present 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 camera, without using offline image processing software
Year
DOI
Venue
2010
10.1145/1873951.1874296
ACM Multimedia 2001
Keywords
Field
DocType
dynamic range,offline image processing software,video-rate viewfinder preview algorithm,hdr scene,mobile device,input image,automatic hdr metering algorithm,mobile camera,image sensor,multi-exposure imaging,light-weight image,share image,real time applications,image processing,computational photography
Computer vision,Dynamic range,Computer graphics (images),Image sensor,Computer science,Viewfinder,Computational photography,Image processing,Mobile device,Artificial intelligence,Metering mode,High-dynamic-range imaging
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Natasha Gelfand1123667.99
Andrew Adams293653.55
Sung Hee Park311610.11
Kari Pulli42170157.09