Dynamic-scope automatic adjusting method of glimmering linear array based on electron multiplication

Abstract

A dynamic-scope automatic adjusting method of a glimmering linear array based on electron multiplication is disclosed. The method is characterized by calculating a grey level histogram of a current row image, and giving data proportions of three different intervals of the histogram, which is current row image histogram characteristic data; carrying out weighted accumulating on the data and historical data and serving as a criterion of dynamic scope adjusting; introducing iterative image histogram characteristic data into a dynamic scope adjusting strategy table so as to acquire an electron multiplication equivalence gain suggestion usage value; carrying out rationality and event conflict determination on the electron multiplication equivalence gain suggestion usage value so as to give an electron multiplication equivalence gain value which can be actually executed; and through an executable electron multiplication equivalence gain value lookup table, acquiring a glimmering linear array camera electron multiplication driving amount so as to realize automatic control to a dynamic scope of a camera.

Description

technical field [0001] The invention relates to a method for automatically adjusting the dynamic range of a micro-line array camera based on electronic multiplication, in particular to a method for automatically adjusting the dynamic range of a micro-line array camera through an image histogram adjustment strategy and electronic multiplication adjustment. Background technique [0002] Low-light CCD (EMCCD) has the ability to image faint objects under low illumination. Low-light CCD uses high-performance low-noise output amplification technology and electronic multiplication gain adjustment technology to achieve high dynamic range imaging. However, the electron multiplier of the low-light CCD should not be changed frequently, otherwise the output stability of the electron multiplier will be affected. Moreover, the processing method for the nonlinear response characteristics of electron multiplication is rarely involved in the description of the method for automatically adjus...

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Problems solved by technology

For example, in "Real-time automatic gain control algorithm using linear array TDICCD camera", the maximum and minimum values ​​of the image after denoising processing are used as the criterion for gain adjustment, and "A fast automatic exposure control method applied to CMOS image sensor" The image mean value is used as the gain adjustment criterion, and the "Research on Automatic Exposure Method Based on Brightness Histogram Width" also uses an index in the histogram as the gain adjustment criterion, which lacks an overall understanding of the image information distribution. , the judgments made are not reliable enough

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