Image enhancement method based on Hess matrix
An image enhancement, matrix technology, applied in image enhancement, image analysis, image data processing and other directions, to achieve the effect of short processing time, low economic cost and remarkable effect
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[0017] The technical solutions in the embodiments of the present invention will be described clearly and in detail below in conjunction with the drawings in the embodiments of the present invention. The described embodiments are only a part of the embodiments of the present invention.
[0018] System flow chart such as figure 1 As shown, an image enhancement method based on Hess matrix includes the following steps:
[0019] Step 1: Use integral graph to quickly generate Hess matrix of input image at different scales, extend Hess matrix to fractional order, and use multi-scale fractional Hess matrix to process input image to generate feature weighted image;
[0020] The second step: suppress the feature value of the strong feature information pixel in the feature weighted image to obtain the background weighted image;
[0021] Step 3: Use the histogram of the background weighted image and the cumulative distribution function normalized by the histogram to obtain the mapping function;
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