Abstract
This chapter examines the field of super-resolution with
application to text analysis. While the area of super-resolution
has been dealt with in fair depth in recent years, it is only just
becoming useful as an applicable stage in improving text images,
particularly for further processing, transmission, and
understanding on mobile and handheld devices. After dealing with
the general concepts of super-resolution we shall focus on static
super-resolution. Then the main processing stages involved will be
described: motion estimation and registration, warping and
reconstruction, and deblurring and denoising. In each section any
related works on text resolution enhancement are considered.
Finally, for a case study, we describe a novel camera-based text
resolution enhancement algorithm towards an embedded application.
More details at:
Springer www page for the book
| Translated title of the contribution | An Introduction to Super-resolution Text |
|---|---|
| Original language | English |
| Title of host publication | Digital Document Processing: Major Directions and Recent Advances |
| Publisher | Springer Verlag |
| ISBN (Print) | 9781846285011 |
| Publication status | Published - 2007 |
Bibliographical note
Other page information: -Other identifier: 2000627