&lt;title&gt;High-resolution satellite image restoration with frames&lt;/title&gt;

Jérôme Kalifa; Stéphane Mallat; Frédéric Falzon; Bernard Rougé

doi:10.1117/12.255242

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<title>High-resolution satellite image restoration with frames</title>

Jérôme Kalifa Stéphane Mallat Frédéric Falzon Bernard Rougé

Year: 1996 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2825 Pages: 24-31 Publisher: SPIE

DOI: 10.1117/12.255242

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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.

Keywords:

Computer science Deconvolution Artificial intelligence Satellite Computer vision Image restoration Thresholding Wavelet Frame (networking) Image resolution Computer graphics (images) Remote sensing Image (mathematics) Image processing Telecommunications Algorithm Physics Geology

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CCD and CMOS Imaging Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

Satellite Image Processing and Photogrammetry

Physical Sciences → Engineering → Ocean Engineering

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

<title>High-resolution satellite image restoration with frames</title>

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