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ImageAdjust [image]

adjusts the levels in image, rescaling them to cover the range 0 to 1.

ImageAdjust [image,corr]

adjusts the image according to the correction specification corr.

ImageAdjust [image,corr,{inmin,inmax}]

first rescales so that the range of input values inmin to inmax is mapped to 0 to 1.

ImageAdjust [image,corr,{inmin,inmax},{outmin,outmax}]

rescales so that the range of input values inmin to inmax is mapped to outmin to outmax.

Details
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Data  
Contrast  
Brightness  
Gamma  
Scaling  
Applications  
Properties & Relations  
Possible Issues  
See Also
Tech Notes
Related Guides
History
Cite this Page

ImageAdjust [image]

adjusts the levels in image, rescaling them to cover the range 0 to 1.

ImageAdjust [image,corr]

adjusts the image according to the correction specification corr.

ImageAdjust [image,corr,{inmin,inmax}]

first rescales so that the range of input values inmin to inmax is mapped to 0 to 1.

ImageAdjust [image,corr,{inmin,inmax},{outmin,outmax}]

rescales so that the range of input values inmin to inmax is mapped to outmin to outmax.

Details

  • ImageAdjust can be used for adjusting pixel values so that more of the image content is in the visible range or to correct for bad illumination or contrast.
  • ImageAdjust works with arbitrary 2D and 3D images.
  • Correction corr for contrast, brightness and gamma correction can take any of the following settings:
  • c adjusts the image contrast by c
    {c,b} also adjusts the image brightness by b
    {c,b,γ} also performs a gamma correction by raising the values to the power of γ
  • The correction transformation applied to every pixel value x is , rounded or clipped to the image type, if necessary.
  • Zero adjustment corresponds to {0,0,1} correction.
  • When rescaled values lie outside the range outmin to outmax, they are clipped.
  • All correction and range parameters can be given as lists to specify different treatment for different channels in the image. »
  • Range parameters can be set to Automatic to indicate the minimum or maximum of the values that occur in the image.
  • When applied to color images, ImageAdjust always returns an RGB image.

Examples

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Basic Examples  (2)

Auto adjust values of a color image:

Adjust the brightness of a color image:

Scope  (9)

Data  (3)

Adjust the brightness of a 2D grayscale image:

Perform a gamma correction on a color image:

Auto-adjust a 3D image:

Contrast  (2)

Increase the contrast of an image:

Decrease the contrast:

Increase the contrast in the blue channel only:

Brightness  (1)

Increase the brightness of an image:

Make an image darker:

Increase the contrast and brightness of an image:

Gamma  (1)

Adjust a color image using different gamma values:

Scaling  (2)

Adjust the input range:

Adjust the input range using channel-specific settings:

Applications  (7)

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:

Properties & Relations  (5)

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:

Possible Issues  (2)

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:

Tech Notes

Wolfram Research (2008), ImageAdjust, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageAdjust.html (updated 2019).

Text

Wolfram Research (2008), ImageAdjust, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageAdjust.html (updated 2019).

CMS

Wolfram Language. 2008. "ImageAdjust." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2019. https://reference.wolfram.com/language/ref/ImageAdjust.html.

APA

Wolfram Language. (2008). ImageAdjust. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ImageAdjust.html

BibTeX

@misc{reference.wolfram_2025_imageadjust, author="Wolfram Research", title="{ImageAdjust}", year="2019", howpublished="\url{https://reference.wolfram.com/language/ref/ImageAdjust.html}", note=[Accessed: 16-November-2025]}

BibLaTeX

@online{reference.wolfram_2025_imageadjust, organization={Wolfram Research}, title={ImageAdjust}, year={2019}, url={https://reference.wolfram.com/language/ref/ImageAdjust.html}, note=[Accessed: 16-November-2025]}

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