Abstract
Superresolved image reconstruction is demonstrated by use of multiple images taken through atmospheric turbulence under photon-limited conditions. An iterative reconstruction algorithm applies estimate-maximize techniques to a series of short-exposure images of the desired object scene along with the corresponding image sequence of a guide star. Simulations show that estimates of the Fourier components both below and above the diffraction limit are improved at successive iterations. The estimated images give finer detail of the original object than does the diffraction-limited image. Effects of photon-noise levels on restoration performance are investigated, and a modification to the reconstruction algorithm is derived that accounts for the effects of CCD read noise.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2620-2628 |
| Number of pages | 9 |
| Journal | Journal of the Optical Society of America A: Optics and Image Science, and Vision |
| Volume | 15 |
| Issue number | 10 |
| DOIs | |
| State | Published - Jan 1 1998 |
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ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition
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Superresolved image reconstruction of images taken through the turbulent atmosphere. / Gerwe, D. R.; Plonus, Martin A.
In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 15, No. 10, 01.01.1998, p. 2620-2628.Research output: Contribution to journal › Article
TY - JOUR
T1 - Superresolved image reconstruction of images taken through the turbulent atmosphere
AU - Gerwe, D. R.
AU - Plonus, Martin A
PY - 1998/1/1
Y1 - 1998/1/1
N2 - Superresolved image reconstruction is demonstrated by use of multiple images taken through atmospheric turbulence under photon-limited conditions. An iterative reconstruction algorithm applies estimate-maximize techniques to a series of short-exposure images of the desired object scene along with the corresponding image sequence of a guide star. Simulations show that estimates of the Fourier components both below and above the diffraction limit are improved at successive iterations. The estimated images give finer detail of the original object than does the diffraction-limited image. Effects of photon-noise levels on restoration performance are investigated, and a modification to the reconstruction algorithm is derived that accounts for the effects of CCD read noise.
AB - Superresolved image reconstruction is demonstrated by use of multiple images taken through atmospheric turbulence under photon-limited conditions. An iterative reconstruction algorithm applies estimate-maximize techniques to a series of short-exposure images of the desired object scene along with the corresponding image sequence of a guide star. Simulations show that estimates of the Fourier components both below and above the diffraction limit are improved at successive iterations. The estimated images give finer detail of the original object than does the diffraction-limited image. Effects of photon-noise levels on restoration performance are investigated, and a modification to the reconstruction algorithm is derived that accounts for the effects of CCD read noise.
UR - http://www.scopus.com/inward/record.url?scp=0011230383&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0011230383&partnerID=8YFLogxK
U2 - 10.1364/JOSAA.15.002620
DO - 10.1364/JOSAA.15.002620
M3 - Article
AN - SCOPUS:0011230383
VL - 15
SP - 2620
EP - 2628
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
SN - 1084-7529
IS - 10
ER -