Synthetic Images

Create images to test image processing algorithms

The checkerboard and phantom synthetic images consist of simple geometric shapes with sharp edges and uniform regions. Use these images to test your image processing algorithms. You can add synthetic noise to pristine images to test how an algorithm responds to various types of noise.

Functions

`checkerboard`	Create checkerboard image
`phantom`	Create head phantom image
`imnoise`	Add noise to image

Topics

Noise Removal
Remove image noise by using techniques such as averaging filtering, median filtering, and adaptive filtering based on local image variance.

Featured Examples

Perform Simple 2-D Translation Transformation

Shift an image vertically and horizontally, and use spatial referencing information to display the original image and the translated image from the same perspective.

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Reconstructing an Image from Projection Data

Form parallel-beam and fan-beam projections from a head phantom image, and how to reconstruct the image using radon and fan-beam transforms.

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Reduce Noise in Image Gradients

Reduce noise associated with computing image gradients so that features can be more accurately detected.

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