Paper
23 October 1996 High-resolution satellite image restoration with frames
Jerome Kalifa, Stephane G. Mallat, Frederic Falzon, Bernard Rouge
Author Affiliations +
Abstract
The optics of satellite cameras as well as the satellite movement create a blurring effect to which is added a noise due to the electronics of the CCD captors. We introduce a deconvolution algorithm which is regularized with a hard thresholding technic, in a wavelet frame. The restoration procedure is fast and provides good metrical and perceptual results.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jerome Kalifa, Stephane G. Mallat, Frederic Falzon, and Bernard Rouge "High-resolution satellite image restoration with frames", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); https://doi.org/10.1117/12.255242
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Wavelets

Satellites

Wavelet transforms

Image restoration

Satellite imaging

Deconvolution

Earth observing sensors

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