Paper
24 September 2007 Bayesian approach to the thermally generated charge elimination
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Abstract
It is generally known that every astronomical image, which was acquired by CCD sensor, has to be corrected by dark frame. The Dark frame maps the thermally generated charge of the CCD. May become that the dark frame image is not available and it is impossible to correct the astronomical images directly. It is good to note that uncorrected images are not suitable for subsequent investigation. There are simple nonlinear filtering methods, e.g. median filtering, but the obtained results are not so satisfactory. During the recent year the algorithms for the thermally generated charge elimination were proposed. All these algorithms use the Discrete Wavelet Transform (DWT). The DWT transforms image into different frequency bands. Wavelet coefficients histogram should be modeled by generalized Laplacian probability density function (PDF). The Laplacian parameters were estimated by moment method using derived equation system. Furthermore, the images, where the thermally generated charge was suppressed, were estimated using Bayesian estimators. This algorithm will be in the future improved, but now to the promising eliminating algorithm should be involved.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Švihlík "Bayesian approach to the thermally generated charge elimination", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66961R (24 September 2007); https://doi.org/10.1117/12.731774
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Cited by 2 scholarly publications.
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KEYWORDS
Wavelets

Discrete wavelet transforms

Astronomy

Statistical analysis

Wavelet transforms

Control systems

Transform theory

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