Images

Read, write, display, and modify images

MATLAB^® images are arrays of numeric data on which you can perform analysis. For more information, see Working with Image Types in MATLAB.

Functions

`imshow`	Display image
`image`	Display image from array
`imagesc`	Display image with scaled colors

`imread`	Read image from graphics file
`imresize`	Resize image
`imtile`	Combine multiple image frames into one rectangular tiled image
`imwrite`	Write image to graphics file
`imfinfo`	Information about graphics file
`imformats`	Manage image file format registry

`cmap2gray`	Convert RGB colormap to grayscale colormap (Since R2020b)
`frame2im`	Return image data associated with movie frame
`im2gray`	Convert RGB image to grayscale (Since R2020b)
`im2frame`	Convert image to movie frame
`im2double`	Convert image to double precision
`ind2rgb`	Convert indexed image to RGB image
`rgb2gray`	Convert RGB image or colormap to grayscale
`rgb2ind`	Convert RGB image to indexed image
`getrangefromclass`	Default display range of image based on its class

`imapprox`	Approximate indexed image by reducing number of colors
`dither`	Convert image, increasing apparent color resolution by dithering
`cmpermute`	Rearrange colors in colormap
`cmunique`	Eliminate duplicate colors in colormap; convert grayscale or truecolor image to indexed image

Image appearance and behavior

Working with Image Types in MATLAB
Read and display various image types supported by MATLAB graphics.
8-Bit and 16-Bit Images
Reduce memory requirements by storing images as 8-bit or 16-bit unsigned integers.
Read, Write, and Query Image Files
Work with standard image file formats in MATLAB, such as reading and writing image files.
The Image Object and Its Properties
Like all graphics objects, the image object has a number of properties you can set to fine-tune its appearance on the screen.
Printing Images
Print images in proper proportions by preserving the aspect ratio.
Convert Image Graphic or Data Type
Converting between data types changes the interpretation of the image data.
Create and Compare Resizing Interpolation Kernels
This example shows how to define a kernel for image resizing and compare different interpolation kernels on a sample image.