inpaintImage: Use a given dictionary D to inpaint image

In GSCAD: Implementing GSCAD Method for Image Denoising and Inpainting

Description

The corrupted image is split into sqrt(m) by sqrt(m) patches. Each patch is vectorized into a column of matrix Y. Mask matrix M is constructed to indicate the location of missing pixels. Using the given D, the sparse coding A_hat in Y=DA is obtained. Then Y_inpaint=DA_hat. Then the final inpainted image is reconstruncted. See https://arxiv.org/abs/1605.07870

Usage

inpaintImage(I_corrupt, I_mask, D, L = 30, eps = NULL, sigma = 0,
  stepsize = 1)

Arguments

I_corrupt	The image to be inpainted. In form of matrix.
I_mask	0,1 matrix of the same size as I_corrupt to indicate the location of corrupted pixels.
D	D is the dictionary used in Y=DA to inpaint.
L	(optional) This parameter controls the maximum number of non-zero elements in each column of sparsecolding A.
eps	(optional) A lasso tuning paramter
sigma	Noise level.
stepsize	(optional) The stepsize when splicting the image. Default is 1

Value

The denoised image in for of a matrix.

Examples

I=lena_crop
## corrupt 30% of the image
out_corrupt=AddHoles(I,0.3)
I_corrupt=out_corrupt$corruptedImage
I_mask=out_corrupt$maskImage
## use ODCT dictionary
D0=ODCT(64,100)
## inpaint
out=inpaintImage(I_corrupt,I_mask,D0)

GSCAD documentation built on Oct. 6, 2017, 5:04 p.m.