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Bayesian approach to the thermally generated charge elimination

机译:贝叶斯的热生成电荷消除方法

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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 COD. 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.
机译:通常已知通过CCD传感器获取的每个天文图像,必须通过暗框来校正。黑暗框架映射鳕鱼的热生成的电荷。可能成为暗框图像的图像不可用,无法直接纠正天文图像。很高兴注意,未经校正的图像不适合随后的调查。有简单的非线性过滤方法,例如,中值过滤,但获得的结果并不是那么令人满意。在近年来,提出了热生成的电荷消除的算法。所有这些算法都使用离散小波变换(DWT)。 DWT将图像转换为不同的频带。小波系数直方图应由广义拉普拉斯概率密度函数(PDF)进行建模。使用衍生方程系统的矩法估计了拉普拉斯参数。此外,使用贝叶斯估计估计抑制了热生成的电荷的图像。该算法将在未来改进,但现在应该涉及有前途的消除算法。

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