Published December 5, 2001
| Published
Book Section - Chapter
Open
Very high quality image restoration by combining wavelets and curvelets
- Creators
- Starck, J.-L.
- Donoho, D. L.
- Candès, E. J.
Abstract
We outline digital implementations of two newly developed multiscale representation systems, namely, the ridgelet and curvelet transforms. We apply these digital transforms to the problem of restoring an image from noisy data and compare our results with those obtained via well established methods based on the thresholding of wavelet coefficients. We develop a methodology to combine wavelets together these new systems to perform noise removal by exploiting all these systems simultaneously. The results of the combined reconstruction exhibits clear advantages over any individual system alone. For example, the residual error contains essentially no visually intelligible structure: no structure is lost in the reconstruction.
Additional Information
© 2001 Society of Photo-Optical Instrumentation Engineers (SPIE).Attached Files
Published - 9.pdf
Files
9.pdf
Files
(991.8 kB)
Name | Size | Download all |
---|---|---|
md5:4d587b75f937ee987c6b182dcf0a82c2
|
991.8 kB | Preview Download |
Additional details
- Eprint ID
- 91794
- Resolver ID
- CaltechAUTHORS:20181213-143630686
- Created
-
2018-12-19Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 4478