#
image_double

**image_double**,
a MATLAB code which
modifies an image file by doubling the number of rows and columns.
When displayed, this should result in an image that appears twice
as wide and high, with 4 times as many pixels.

In general, a better way to get a bigger picture is simply to use
the original file, but increase the display size by stretching or
rescaling. Here, we just want a simple way to make an image that
will ``automatically'' display itself with doubled dimensions.

This doubling procedure may be repeated. The function image_decimate()
will reverse the doubling operation.

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Licensing:

The computer code and data files described and made available on this web page
are distributed under
the GNU LGPL license.

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Languages:

**image_double** is available in
a MATLAB version.

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Related Data and Programs:

image_boundary,
a MATLAB code which
reports the pixels which form the boundary between the black and
white regions of a simple image.

image_components,
a MATLAB code which
seeks the connected "nonzero" or "nonblack" components of
an image or integer vector,
array or 3d block.

image_contrast,
a MATLAB code which
applies image processing techniques to increase the contrast in an image.

image_decimate,
a MATLAB code which
``compresses'' a file by deleting the even rows and columns.

image_denoise,
a MATLAB code which
applies image processing techniques to remove noise from an image.

image_diffuse,
a MATLAB code which
uses diffusion to smooth out an image.

image_double_test

image_edge,
a MATLAB code which
demonstrates a simple procedure for edge detection in images.

image_noise,
MATLAB codes which
add noise to an image.

image_quantization,
a MATLAB code which
demonstrates how the kmeans algorithm can be used to reduce the number
of colors or shades of gray in an image.

image_rgb_to_gray,
MATLAB codes which
makes a grayscale version of an rgb image.

image_threshold,
MATLAB codes which
make a black and white version of a grayscale image by setting all pixels
below or above a threshold value to black or white.

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Source Code:

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Last revised on 03 February 2019.
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