Deblurring

Deconvolution for deblurring

Images can be distorted by blur, such as motion blur or blur resulting from an out-of-focus lens. Blur is represented by a distortion operator, also called the point spread function (PSF). Different deblurring algorithms estimate and remove blur based on how much knowledge you have of the PSF and noise in the image.

Functions

deconvblindDeblur image using blind deconvolution
deconvlucyDeblur image using Lucy-Richardson method
deconvregDeblur image using regularized filter
deconvwnrDeblur image using Wiener filter
edgetaperTaper discontinuities along image edges
otf2psfConvert optical transfer function to point-spread function
psf2otfConvert point-spread function to optical transfer function
padarrayPad array

Topics

Image Deblurring

Deblurring is a process that removes distortion from a blurry image, using knowledge of how the optical system blurs a single point of light.

Adapt the Lucy-Richardson Deconvolution for Various Image Distortions

The Lucy-Richardson deconvolution function enables you to deblur images with complicated distortions such as nonuniform image quality or undersampling.

Adapt Blind Deconvolution for Various Image Distortions

Although blind deconvolution algorithm does not require information about the blurring or noise, it enables you to deblur images that have complicated distortions such as nonuniform image quality or undersampling.

Create Your Own Deblurring Functions

To create your own deblurring functions, convert the distortion operator between the spatial and the frequency domains.

Avoid Ringing in Deblurred Images

Ringing is an artifact that appears as alternating bright and dark bands near edges. Reduce ringing by blurring the edges of the original image.

Featured Examples