Spatio-frequency noise distribution a priori for satellite, image joint denoising/deblurring

• Published in: Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) Vol. 3; pp. 782 - 785 vol.3
• Main Authors: Tramini, S., Antonini, M., Barlaud, M., Aubert, G., Rouge, B., Latry, C.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2000
• Subjects: Charge coupled devices; Degradation; Image sampling; Noise level; Noise reduction; Optical noise; Optical sensors; Optical signal processing; Satellites; Signal processing
• ISBN: 0780362977; 9780780362970
• ISSN: 1522-4880; 2381-8549
• DOI: 10.1109/ICIP.2000.899571

We propose a new multiresolution variational joint denoising/deblurring approach, involving a priori assumptions on the solution and knowledge of the imaging systems to account for effects due to acquisition noise (edge preservation, degradation noise modeling, bounded noise assumption and spectral control of noise level-whiteness and stationarity). The techniques used are drawn from a variety of areas of modern signal processing, including optimization theory, inverse problem, wavelet packets decomposition and bounded noise assumption.