using NtToolBox
using PyPlot

name = "NtToolBox/src/data/lena.png"
n = 256
M = load_image(name, n);

imageplot(M[Int(n/2 - 25) : Int(n/2 + 25), Int(n/2 - 25) : Int(n/2 + 25)], "Zoom", [1, 2, 2]);

imageplot(-M, "-M", [1,2,1])
imageplot(M[end:-1:1,1:size(M, 2)], "Flipped", [1,2,2])

sigma = 5
X = [0:n/2; -n/2:-2]'
Y = [0:n/2; -n/2:-2]
h = exp(-(X.^2 .+ Y.^2)/(2*(sigma)^2))
h = h/sum(h)
imageplot(fftshift(h))

Mh = conv2(Array{Float64, 2}(M), h)
Mh = Mh[1:255, 1:255] + Mh[257:511, 1:255] + Mh[1:255, 257:511] + Mh[257:511, 257:511];

imageplot(M, "Image", [1, 2, 1])
imageplot(Mh, "Blurred", [1, 2, 2])

(G_x, G_y) = Images.imgradients(M)
imageplot(G_x, "d/ dx", [1, 2, 1])
imageplot(G_y, "d/ dy", [1, 2, 2])

Mf = plan_fft(M)
Mf*M 
Lf = fftshift(log(abs(Mf*M) + 1e-1))
imageplot(M, "Image", [1, 2, 1])
imageplot(Lf, "Fourier transform", [1, 2, 2])

include("NtSolutions/introduction_3_image/exo1.jl")

include("NtSolutions/introduction_3_image/exo2.jl")
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