Image contrast enhancing method
An image contrast and image gradient technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of robustness, lack of enhancement effect of halo phenomenon, lack of details of image enhancement algorithm, etc., and achieve noise suppression and enhancement effect Good, good enhancement, clear image details
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Embodiment 1
[0039] Embodiment 1: Take the underexposed image actually taken as an example:
[0040] In this embodiment, an image that is actually shot with a dark picture due to underexposure is taken as an example, as shown in Figure 3a As shown, the image resolution is 640*480 (pixels); the adjustable parameter α of the enhancement function is 0.3.
[0041] The specific implementation process of this embodiment is as follows:
[0042] Step 101. Read the R, G, and B three color component images of the original image I (x, y), and perform steps 102 to 110 for each component, corresponding to the pixel at (320, 240) in the image , and its R, G, B three component values are I R (320,240)=25, I G (320,240)=30, I B (320,240) = 34;
[0043] Step 102. Find the gradient ▽ I(x, y) of the image I(x, y), and approximate it with the first-order forward difference:
[0044] ▽I(x,y)≈(I(x+1,y)-I(x,y),I(x,y+1)-I(x,y));
[0045] At this time, the gradient values in the x direction and y direc...
Embodiment 2
[0068] Embodiment 2: Take the actual strong backlight image taken as an example:
[0069] This embodiment selects the actual strong backlight image taken as an example, such as Figure 4a As shown, the image resolution is 512*512 (pixels), and the operation steps are completely the same as those in Embodiment 1, and will not be repeated here.
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