Adaptive Histogram Equalization
As an alternative to using histeq
, you can perform
contrast-limited adaptive histogram equalization (CLAHE) using the adapthisteq
function. While histeq
works on the
entire image, adapthisteq
operates on small regions in the image,
called tiles. adapthisteq
enhances the contrast
of each tile, so that the histogram of the output region approximately matches a
specified histogram. After performing the equalization, adapthisteq
combines neighboring tiles using bilinear interpolation to eliminate artificially
induced boundaries.
To avoid amplifying any noise that might be present in the image, you can use
adapthisteq
optional parameters to limit the contrast, especially
in homogeneous areas.
Adjust Contrast using Adaptive Histogram Equalization
This example shows how to adjust the contrast in an image using CLAHE.
Read image into the workspace.
I = imread('pout.tif');
View the original image and its histogram.
figure subplot(1,2,1) imshow(I) subplot(1,2,2) imhist(I,64)
Adjust the contrast of the image using adaptive histogram equalization.
J = adapthisteq(I);
Display the contrast-adjusted image with its histogram.
figure subplot(1,2,1) imshow(J) subplot(1,2,2) imhist(J,64)