Super-Resolution Image Reconstruction Using Non-Linear Filtering Techniques (2006)
Abstract / truncated to 115 words
Super-resolution (SR) is a filtering technique that combines a sequence of under-sampled and degraded low-resolution images to produce an image at a higher resolution. The reconstruction takes advantage of the additional spatio-temporal data available in the sequence of images portraying the same scene. The fundamental problem addressed in super-resolution is a typical example of an inverse problem, wherein multiple low-resolution (LR)images are used to solve for the original high-resolution (HR) image. Super-resolution has already proved useful in many practical cases where multiple frames of the same scene can be obtained, including medical applications, satellite imaging and astronomical observatories. The application of super resolution filtering in consumer cameras and mobile devices shall be possible in the ...
Information
- Author
- Trimeche, Mejdi
- Institution
- Tampere University of Technology
- Supervisor
- Publication Year
- 2006
- Upload Date
- Dec. 10, 2008
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