Fuzzy theory based low-light-level imaging method
A fuzzy theory and imaging method technology, applied in the field of image processing, can solve the problems of poor real-time performance, image quality and low detail recognizability
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[0047] The accompanying drawings constituting a part of this application are used to provide further understanding of the present invention, and the schematic embodiments and descriptions of the present invention are used to explain the present invention, and do not constitute an improper limitation of the present invention.
[0048] see figure 1 , the low-light imaging method based on fuzzy theory provided by the present invention comprises the following steps:
[0049] Step S100: Image preprocessing: After converting the input low-illuminance RGB image into HSV space, perform logarithmic transformation and enhancement processing on the overall brightness component of the image, and perform spatial inverse transformation to convert the HSV space image back to an RGB image to obtain brightness enhancement image;
[0050] Wherein the RGB image conversion can be carried out by conventional methods.
[0051] Step S100 includes the following steps:
[0052] Step S110: HSV color...
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