ImageAdd

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`ImageAdd`

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ImageAdd[image,x]

adds an amount x to each channel value in image.

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ImageAdd[image₁,image₂]

gives an image in which each pixel is the sum of the corresponding pixels in image₁ and image₂.

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ImageAdd[image,expr₁,expr₂,…]

adds all expr_i to image, where each expr_i can be either an image, a number, or a color value.

Details

The image returned by ImageAdd[image,…] has the same dimensions as image.
In ImageAdd[image,x], x can be a number normally in the range 0 to 1, a color, or a list of color channel values.
ImageAdd[image,x] typically gives an image with the same underlying data type as image, clipping or truncating values if necessary.
If the image dimensions are different, ImageAdd[image₁,image₂] adds image₂ at the center of image₁.
If image₁ or image₂ is a single-channel image, its values are added to the values in each channel of the other image in ImageAdd[image₁,image₂].
If image₁ and image₂ are both multichannel images, the values in each channel are added separately.
ImageAdd[image₁,image₂] gives an image with the largest type of either image₁ or image₂, clipping or truncating values if necessary.
For binary images, ImageAdd effectively finds the logical OR of pixel values.
ImageAdd[image,expr₁,expr₂,…] folds ImageAdd on the list of arguments.
ImageAdd[{image,expr₁,expr₂,…}] is equivalent to ImageAdd[image,expr₁,expr₂,…].
ImageAdd works with Image3D objects.

Examples

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Basic Examples (3)Summary of the most common use cases

Brighten a color image by adding a constant amount to all channels:

In[6]:=6

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https://wolfram.com/xid/0cg4t6l1u-2cq9m0

Out[6]=6

Add two color images:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-1p21zg

Out[1]=1

Logical OR of two binary images:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-umd8hy

Out[1]=1

Scope (3)Survey of the scope of standard use cases

Mask an image by adding a thresholded version of it:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-csfsok

Out[1]=1

Add multiple images to each other:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-oflm61

Out[1]=1

Add a noise image to a 3D image:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-kr6wd6

Out[1]=1

Applications (3)Sample problems that can be solved with this function

Uniform additive noise:

In[3]:=3

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https://wolfram.com/xid/0cg4t6l1u-h7tdlv

Out[4]=4

Create a sepia image:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-hjzmfw

Out[1]=1

Convert a color image to a sepia image:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-udolfl

In[2]:=2

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https://wolfram.com/xid/0cg4t6l1u-l25bs9

Out[2]=2

Multiply by a Gaussian frame to create a vignette effect:

In[3]:=3

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https://wolfram.com/xid/0cg4t6l1u-jzvvy4

Out[3]=3

Possible Issues (3)Common pitfalls and unexpected behavior

Numerical rounding in finite-precision images can be affected by the limited precision of machine arithmetic:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-juhb4j

Out[1]=1

In[2]:=2

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https://wolfram.com/xid/0cg4t6l1u-279kcq

Out[2]=2

When adding images of different color spaces, channel values are added respectively:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-7modp2

Out[1]=1

In[2]:=2

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https://wolfram.com/xid/0cg4t6l1u-2ii9de

Out[2]=2

The resulting image will have an Automatic color space:

In[3]:=3

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https://wolfram.com/xid/0cg4t6l1u-xcvz7o

Out[3]=3

When adding images of integer types, pixel value clipping is happening:

In[1]:=1

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https://wolfram.com/xid/0cg4t6l1u-6arn7j

In[2]:=2

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https://wolfram.com/xid/0cg4t6l1u-z5ud4q

Out[2]=2

Adjusting cannot restore the clipped values:

In[3]:=3

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https://wolfram.com/xid/0cg4t6l1u-4n8u09

Out[3]=3

Use a real image type to avoid clipping:

In[4]:=4

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https://wolfram.com/xid/0cg4t6l1u-2awllq

Out[4]=4

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