Gamma correction and smoothing filtering based image histogram equalization enhancing method
A technology of histogram equalization and image histogram, applied in the field of image processing, can solve the problems of excessive brightness change, loss of details, layering and poor adaptability, and achieve the effect of avoiding brightness saturation and enhancing the image.
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Embodiment 1
[0054] In this embodiment, Matlab is used as an experimental research tool to illustrate specific implementation steps. The experimental object takes the grayscale image of the mountain in the [0,255] grayscale range (see Picture 1-1 ). Calculated by Matlab, 32.15% of the pixels in the image are concentrated on the single grayscale of 255, and the remaining pixels are distributed in the interval of about [50,255). It can be seen from the figure that the experimental object is generally brighter. The specific implementation steps of this image enhancement are as follows:
[0055] Step 1, use the image reading function imread to read in the image to be enhanced, namely Picture 1-1 , the statement to read in the image is: img=imread(' Picture 1-1 .tiff’), to get the memory variable img of the target image, img(i, j) is the memory representation corresponding to any pixel of the image, and i, j is the subscript of the pixel memory representation img(i, j).
[0056] Step 2, ...
Embodiment 2
[0064] In this embodiment, the couple grayscale images in the [0,255] grayscale range are taken (see Figure 3-1 . The main part of the pixels of this image are concentrated in the dark interval of [0, 100], but they are distributed in the complete gray scale range of [0255] on the whole, and the original contrast is very low.
[0065] The histogram enhancement method based on adaptive gamma correction and weighted weight distribution, the traditional histogram equalization method and the method of the present invention are aimed at Figure 3-1 Compared with the image processing results, the experimental results are as follows Figure 3-2 to Figure 3-4 shown. Figure 4-1 to Figure 4-4 The original image, the histogram enhancement method based on adaptive gamma correction and weighted weight distribution, the traditional histogram equalization method and the histogram corresponding to the method of the present invention are sequentially presented. From the perspective of vis...
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