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Title: A scratch removal method (English)
Author: Haindl, Michal
Author: Šimberová, Stanislava
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 34
Issue: 4
Year: 1998
Pages: [423]-428
Summary lang: English
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Category: math
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Summary: We present a new type of scratch removal algorithm based on a causal adaptive multidimensional prediction. The predictor use available information from the failed pixel surrounding due to spectral and spatial correlation of multispectral data but not any information from failed pixel itself. Predictor parameters cannot be directly identified so a special approximation is introduced. (English)
Keyword: multidimensional prediction
Keyword: regression
Keyword: scratch reconstruction
MSC: 62H99
MSC: 68T05
MSC: 68T10
MSC: 93C40
idZBL: Zbl 1274.68384
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Date available: 2009-09-24T19:18:23Z
Last updated: 2015-03-28
Stable URL: http://hdl.handle.net/10338.dmlcz/135226
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Reference: [1] al R. Bernstein et: Analysis and processing of Landsat-4 sensor data using advanced image processing techniques and technologies.IEEE Trans. Geosci. 22 (1984), GE-22, 192–221
Reference: [2] Broemeling L. D.: Bayesian Analysis of Linear Models.Dekker, New York 1985 Zbl 0564.62020, MR 0772380
Reference: [3] Haindl M., Šimberová S.: A multispectral image line reconstruction method.In: Theory & Applications of Image Analysis (P. Johansen and S. Olsen, eds.), World Scientific, Singapore 1992
Reference: [4] Haindl M., Šimberová S.: A high–resolution radiospectrograph image reconstruction method.Astronom. and Astrophys., Suppl. Ser. 115 (1996), 189–193
Reference: [5] Venetianer P. L., Werblin F., Roska T., Chua L. O.: Analogic CNN algorithm for some image compression and restoration tasks.IEEE Trans. Circuit Systems CS-42 (1995), 278–284 10.1109/81.386161
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