Video enhancement using reference photographs
Abstract
Handheld digital video cameras have become increasingly popular and cheaper in recent years. Even still cameras offer additional functionality for shooting videos. Unfortunately, the small form factor of these devices limits the light sensitivity, and often the the lens and sensor do not allow for satisfactory image quality. Matters become worse as each frame can be exposed for only a fraction of a second. Even for such short exposures, motion blur is still noticeable and may destroy visual details. In addition, the internal bandwidth of the storage unit inside the camera also puts a limit on resolution. Image quality may also suffer from the ability of the person that operates the camera. The dynamic range of current cameras is not high enough to correct over- and under-exposure afterward, and excessive shake increases motion blur. On the other hand, when taking photographs with a still camera, we are much less subject to these issues. We wish to process a video into a more aesthetically pleasing version, by borrowing information from high quality reference photographs of the same scene. Since the process of taking a photograph is not time-critical, we can afford a longer exposure for reducing noise, and record more information to increase resolution. Also, photographs are less prone to motion blur if a tripod is used.
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References
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Freeman, W. T., Jones, T. R., and Pasztor, E. C. 2002. Example-based super-resolution. IEEE Computer Graphics and Applications 22, 2 (March/April), 56--65.
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Video enhancement using reference photographs
Digital video cameras are becoming commonplace in many households, but they still leave something to be desired in terms of image quality. Their poor light sensitivity make images noisy and blurry, and internal storage bandwidth limits the frame ...
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August 2007
197 pages
Copyright © 2007 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 05 August 2007
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SIGGRAPH07
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SIGGRAPH07: Special Interest Group on Computer Graphics and Interactive Techniques Conference
August 5 - 9, 2007
California, San Diego
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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%
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