Astronomical image noise removal method

An astronomical image and astronomical technology, applied in the field of superimposing and removing dark frames by wavelet curve method, can solve problems such as not being effective enough, achieve the effect of improving processing efficiency and effect, and removing noise

Active Publication Date: 2016-08-24
度测(上海)科技服务中心
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Problems solved by technology

At this time, the traditional denoising method cannot be used, because it is not effective enough

Method used

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  • Astronomical image noise removal method
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  • Astronomical image noise removal method

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Embodiment

[0034] Example: We choose to attach image 3 The original image with noise after dark frame elimination in (b) is used as the basic image to be processed in the embodiment, and the method disclosed in the present invention is used to perform corresponding denoising wherein the filter adopts a cube B3 spline calibration filter, Table 1 shows the standard deviation values ​​at different decomposition stages after 2D wavelet transform. It can be seen that the image quality gradually improves with the increase of decomposition stages.

[0035] Table 1 The Gaussian noise standard deviation index simulated at different decomposition stages

[0036]

[0037] Attached Table 2 shows the effectiveness of each method presented by the objective mean square error (MSE) standard and peak signal-to-noise ratio (PSNR) standard after the joint calculation of the three methods, and the average image calculated from the acquired video sequence is considered to be the original image without n...

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Abstract

The invention provides an astronomical image noise removal method. The astronomical image noise removal method can be used in the aspect of important photon data processing of quasi-maximum values. According to the method, images containing acquired star fields are segmented by plane fields so as to amend the response from a CCD camera to incident light; after correspondingly removing dark domain transformation, wavelet curve coefficient thresholding is applied on the processed images; if a certain coefficient is greater than a threshold value, the coefficient is important, or else, the coefficient is not important. According to the scheme, the optical abnormity and non-consistent noise in the astronomical images, especially the noise caused by the non-consistent sensitivity of an image intensifier, can be effectively eliminated, so that the aim of improving the working efficiency is achieved.

Description

technical field [0001] The invention relates to an astronomical image processing method, in particular to removing noise in the astronomical image by using a wavelet curve method to superimpose and remove dark frames. Background technique [0002] Astronomical images obtained at lower luminosity, these data will have high noise. There are many noise sources here, including thermal imaging noise (black current) inside the astronomical CCD sensor, and Poisson noise in the presence of photon flow. There are many specific image quality standards in astronomy, which come from astronomical image processing algorithms and have specific provisions in the field of multimedia signal processing. Astronomical and photometric algorithms provide a lot of information about astronomical objects: brightness profile (PSF), position and magnitude, etc. But these algorithms will fail due to very low signal-to-noise ratio. The prior art solves this technical problem by removing dark frames fr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/00G06T5/002G06T2207/10004G06T2207/20064G06T2207/30192
Inventor 张丛
Owner 度测(上海)科技服务中心
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