Parameters Identification via Cepstrum Analysis for Mix Blurred Image
| Autor: | Xianwei Gong, Mingzhu Shi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Point spread function
Computer science business.industry Motion blur ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 010103 numerical & computational mathematics 02 engineering and technology 01 natural sciences Image (mathematics) Identification (information) Cepstrum 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence 0101 mathematics business Image restoration ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Lecture Notes in Electrical Engineering ISBN: 9789811065705 CSPS |
| DOI: | 10.1007/978-981-10-6571-2_183 |
| Popis: | Relative motion between the camera and objects leads to image blur and degrades video sequences. In order to achieve image restoration of the video intra-frames, the mixed blur that combines two common blur types, motion blur and defocus blur, is discussed in moving imaging. First, blur types are determined according to differences in spectrum features. Then, parameters of the point spread function (PSF) are identified quantitatively using the method of cepstrum analysis. Finally, experimental results show that the proposed cepstrum analysis for estimating the PSF can reach high accuracy. |
| Databáze: | OpenAIRE |
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