Auto adjust values of a color image:

Adjust the brightness of a color image:

Create a high-contrast image:

Use gamma values in the range 0<γ<1 to see more details in dark areas of an image:

Use values γ>1 to see more details in a washed-out image:

Adjust to see relative distances returned by DistanceTransform:

Adjust to see out-of-range values returned by LaplacianGaussianFilter:

Symmetrically adjust the result of a Laplacian filter:

Use the maximum range in each channel:

Compare with the default adjustment:

Adjust the brightness of a region of interest in an image:

Create a mask:

Enhance the image:

Adjust very small values in a 3D image:

For grayscale images, ImageAdjust[Image[data]] is equivalent to Image[Rescale[data]]:

ImageAdjust[image] is equivalent to ImageAdjust[image,{0,0,1},{min,max},{0,1}], where {min,max} are the channel-wise pixel ranges in image:

ImageAdjust[image,-2] is equivalent to ColorNegate[image]:

ImageAdjust[image,-1] returns a constant image:

Image contrast increases as contrast value c is varied from -1 to ∞:

ImageAdjust[image,{c,b,γ}] is equivalent to ImageApply[Clip[(b+1)(c+1)#^γ-c/2,{0,1}]&,image]:

When scaling is specified, it is applied before the other corrections:

The image is not changed if the input and the output range are identical:

View the pixel transformation function and its effect on the example image and its histogram as the contrast, brightness and gamma parameters are changed:

Noise may get amplified for images with small color variation:

ImageAdjust may introduce new colors, as all channels are scaled independently:

Perform a global adjustment: