1 files changed, 0 insertions, 35 deletions
diff --git a/demos/demoMatlab_inpaint.m b/demos/demoMatlab_inpaint.m
deleted file mode 100644
index a85f2b9..0000000
--- a/demos/demoMatlab_inpaint.m
+++ /dev/null
@@ -1,35 +0,0 @@
-% Image (2D) inpainting demo using CCPi-RGL
-clear; close all
-Path1 = sprintf(['..' filesep 'src' filesep 'Matlab' filesep 'mex_compile' filesep 'installed'], 1i);
-Path2 = sprintf(['data' filesep], 1i);
-addpath(Path1);
-addpath(Path2);
-
-load('SinoInpaint.mat');
-Sinogram = Sinogram./max(Sinogram(:));
-Sino_mask = Sinogram.*(1-single(Mask));
-figure; 
-subplot(1,2,1); imshow(Sino_mask, [0 1]); title('Missing data sinogram');
-subplot(1,2,2); imshow(Mask, [0 1]); title('Mask');
-%%
-fprintf('Inpaint using Linear-Diffusion model (CPU) \n');
-iter_diff = 5000; % number of diffusion iterations
-lambda_regDiff = 6000; % regularisation for the diffusivity 
-sigmaPar = 0.0; % edge-preserving parameter
-tau_param = 0.000075; % time-marching constant 
-tic; u_diff = NonlDiff_Inp(single(Sino_mask), Mask, lambda_regDiff, sigmaPar, iter_diff, tau_param); toc; 
-figure; imshow(u_diff, [0 1]); title('Linear-Diffusion inpainted sinogram (CPU)');
-%%
-fprintf('Inpaint using Nonlinear-Diffusion model (CPU) \n');
-iter_diff = 1500; % number of diffusion iterations
-lambda_regDiff = 80; % regularisation for the diffusivity 
-sigmaPar = 0.00009; % edge-preserving parameter
-tau_param = 0.000008; % time-marching constant 
-tic; u_diff = NonlDiff_Inp(single(Sino_mask), Mask, lambda_regDiff, sigmaPar, iter_diff, tau_param, 'Huber'); toc; 
-figure; imshow(u_diff, [0 1]); title('Non-Linear Diffusion inpainted sinogram (CPU)');
-%%
-fprintf('Inpaint using Nonlocal Vertical Marching model (CPU) \n');
-Increment = 1; % linear increment for the searching window
-tic; [u_nom,maskupd] = NonlocalMarching_Inpaint(single(Sino_mask), Mask, Increment); toc;
-figure; imshow(u_nom, [0 1]); title('NVM inpainted sinogram (CPU)');
-%%
-\ No newline at end of file