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Nguyễn Anh Khoa
2019-05-14 22:37:19 +07:00
commit a43837539e
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{
"cells": [
{
"cell_type": "code",
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"metadata": {},
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"source": [
"using Formatting\n",
"using StatsBase\n",
"using FFTW\n",
"using Plots"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Histogram normalized\n"
]
},
{
"data": {
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"5×5 Array{Int64,2}:\n",
" 7 1 1 3 5\n",
" 5 3 7 3 5\n",
" 8 3 7 3 5\n",
" 8 6 7 6 5\n",
" 8 3 8 3 5"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.08, 0.28, 0.16, 0.08, 0.08, 0.16, 0.04, 0.12]\n",
"Cumsum Histogram normalized\n",
"[0.08, 0.36, 0.52, 0.6, 0.68, 0.84, 0.88, 1.0]\n",
"Prefered Histogram\n",
"[0.125, 0.125, 0.125, 0.125, 0.125, 0.125, 0.125, 0.125]\n",
"Cumsum Prefered Histogram\n",
"[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1.0]\n",
"out hist\n",
"[0.125, 0.375, 0.625, 0.625, 0.75, 0.875, 1.0, 1.0]\n",
"out color\n",
"[0, 1, 2, 3, 4, 5, 6, 7]\n",
"[1.0, 3.0, 5.0, 5.0, 6.0, 7.0, 8.0, 8.0]\n",
"\n",
"New Histogram\n",
"[2, 0, 7, 0, 6, 2, 4, 4]\n",
"New Histogram normalized\n",
"[0.08, 0.0, 0.28, 0.0, 0.24, 0.08, 0.16, 0.16]\n",
"New Cumsum Histogram normalized\n",
"[0.08, 0.08, 0.36, 0.36, 0.6, 0.68, 0.84, 1.0]\n"
]
}
],
"source": [
" I_cau1 = [\n",
" 5 0 0 1 2\n",
" 2 1 5 1 2\n",
" 7 1 5 1 2\n",
" 7 4 5 4 3\n",
" 7 1 6 1 3\n",
" ]\n",
"\n",
" hist = fit(Histogram, reshape(I_cau1, (length(I_cau1))), nbins=8).weights\n",
" normalized_hist = hist ./ sum(hist)\n",
" cumsum_normalized_hist = cumsum(normalized_hist)\n",
"\n",
" println(\"Histogram normalized\")\n",
" println(normalized_hist)\n",
" println(\"Cumsum Histogram normalized\")\n",
" println(cumsum_normalized_hist)\n",
"\n",
" prefered_hist = fit(Histogram, 0:7, nbins=8).weights\n",
" normalized_prefered_hist = prefered_hist ./ sum(prefered_hist)\n",
" cumsum_normalized_prefered_hist = cumsum(normalized_prefered_hist)\n",
"\n",
" println(\"Prefered Histogram\")\n",
" println(normalized_prefered_hist)\n",
" println(\"Cumsum Prefered Histogram\")\n",
" println(cumsum_normalized_prefered_hist)\n",
"\n",
" # https://dsp.stackexchange.com/questions/16166/histogram-matching-of-two-images-using-cdf\n",
" out_hist = zeros(8)\n",
" out_color = zeros(8)\n",
"\n",
" for i in 1:length(out_color)\n",
" for k in 1:length(cumsum_normalized_prefered_hist)\n",
" if cumsum_normalized_prefered_hist[k] - cumsum_normalized_hist[i] < 0\n",
" continue\n",
" end\n",
" out_hist[i] = cumsum_normalized_prefered_hist[k]\n",
" out_color[i] = k\n",
" break\n",
" end\n",
" end\n",
"\n",
" println(\"out hist\")\n",
" println(out_hist)\n",
" println(\"out color\")\n",
" println([i for i=0:7])\n",
" println(out_color)\n",
"\n",
" for idx in CartesianIndices(I_cau1)\n",
" newcolor = out_color[I_cau1[idx] + 1]\n",
" I_cau1[idx] = newcolor\n",
" end\n",
"\n",
" display(I_cau1)\n",
" println()\n",
" hist = fit(Histogram, reshape(I_cau1, (length(I_cau1))), nbins=8).weights\n",
" normalized_hist = hist ./ sum(hist)\n",
" cumsum_normalized_hist = cumsum(normalized_hist)\n",
"\n",
" println(\"New Histogram\")\n",
" println(hist)\n",
" println(\"New Histogram normalized\")\n",
" println(normalized_hist)\n",
" println(\"New Cumsum Histogram normalized\")\n",
" println(cumsum_normalized_hist)\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
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"source": [
"# h = fit(Histogram, reshape(I_cau1, (length(I_cau1))), nbins=8)\n",
"bar(0:length(hist)-1, hist)"
]
},
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},
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bar(0:length(prefered_hist)-1, prefered_hist)"
]
}
],
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"kernelspec": {
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"language": "julia",
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"using FFTW"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dct (generic function with 1 method)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"function dct(f)\n",
" function a(u, N)\n",
" if u == 0\n",
" sqrt(1/N)\n",
" else\n",
" sqrt(2/N)\n",
" end\n",
" end\n",
"\n",
" if ndims(f) == 1\n",
" N = length(f)\n",
" [a(u, N) * sum([x * cos(pi * u * (2i - 1)/ (2N)) for (i, x) in enumerate(f)]) for u=0:N - 1]\n",
" elseif ndims(f) == 2\n",
" N, M = size(f)\n",
" [a(u, N) * a(v, M) * sum([f[x+1, y+1] * cos(pi * u * (2x + 1)/ (2N)) * cos(pi * v * (2y + 1) / (2M)) for x=0:N-1, y=0:M-1]) for u=0:N - 1, v=0:M-1]\n",
" else\n",
" error(\"What the hell man?\")\n",
" end\n",
"end"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"8-element Array{Float64,1}:\n",
" 12.727922061357857 \n",
" -6.4423230227051365 \n",
" -1.3322676295501878e-15\n",
" -0.6734548009039396 \n",
" 0.0 \n",
" -0.20090290373599107 \n",
" -2.6645352591003757e-15\n",
" -0.05070232275964859 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"8-element Array{Float64,1}:\n",
" 12.727922061357857 \n",
" -6.442323022705137 \n",
" 0.0 \n",
" -0.6734548009039407 \n",
" 0.0 \n",
" -0.20090290373599654 \n",
" 0.0 \n",
" -0.050702322759645924"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"8×8 Array{Float64,2}:\n",
" 260.0 -18.2216 -3.51701e-14 … -4.89869e-14 -0.143408 \n",
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" -4.14504e-14 5.32907e-15 0.0 0.0 1.77636e-15\n",
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" 1.6329e-14 -1.77636e-15 3.55271e-15 -8.88178e-16 9.76996e-15\n",
" -4.54591 -5.32907e-15 0.0 … 0.0 5.9952e-15 \n",
" -5.33831e-14 1.15463e-14 -6.21725e-15 -4.44089e-16 -1.33227e-15\n",
" -1.14726 -2.66454e-15 -4.44089e-15 -2.22045e-15 2.66454e-15"
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},
"metadata": {},
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{
"data": {
"text/plain": [
"8×8 Array{Float64,2}:\n",
" 260.0 -18.2216 0.0 -1.90482 0.0 -0.568239 0.0 -0.143408\n",
" -145.773 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n",
" 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n",
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" 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n",
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"metadata": {},
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],
"source": [
"display(dct(1:8))\n",
"\n",
"display(FFTW.dct(1:8))\n",
"\n",
"display(dct([(i-1)*8 + j for i=1:8, j=1:8]))\n",
"\n",
"display(FFTW.dct([(i-1)*8 + j for i=1:8,j=1:8]))\n"
]
}
],
"metadata": {
"kernelspec": {
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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"using FFTW"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dft (generic function with 1 method)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"function dft(f)\n",
" if ndims(f) == 1\n",
" M = length(f)\n",
" [sum([x * exp(-2im*pi*u * (idx - 1) / M ) for (idx, x) in enumerate(f)]) for u=0:M-1]\n",
" elseif ndims(f) == 2\n",
" M, N = size(f)\n",
" [sum([f[x+1, y+1] * exp(-2im*pi*(u*x/M + v*y/M)) for x=0:M-1, y=0:N-1]) for u=0:M-1, v=0:N-1]\n",
" else\n",
" error(\"Wrong dimension\")\n",
" end\n",
"end "
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"fft2d (generic function with 1 method)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"function fft1d(array)\n",
" #= https://en.wikipedia.org/wiki/Cooley%E2%80%93Tukey_FFT_algorithm\n",
" #\n",
" # Xk = Ek + e^(-2pi*i/N * k) * Ok\n",
" #\n",
" # Ek = Event DFT\n",
" # Ok = Odd DFT\n",
" #\n",
" =#\n",
" N = size(array)[1]\n",
" if N == 1\n",
" return array\n",
" elseif N % 2 != 0\n",
" error(\"Wrong dimension\")\n",
" end\n",
"\n",
" # people count from zero while julia counts from 1\n",
" # either way, it should be the same name\n",
" even = fft1d(array[1:2:end])\n",
" odd = fft1d(array[2:2:end])\n",
" w = exp.(-2im * pi / N * [i for i=0:N/2-1])\n",
" half1 = even .+ (odd .* w)\n",
" half2 = even .- (odd .* w)\n",
" vcat(half1,half2)\n",
"end\n",
"\n",
"function fft2d(matrix)\n",
" if ndims(matrix) != 2\n",
" error(\"I dont handle other than 2 dimension matrix\")\n",
" end\n",
" matrix_fft1 = hcat(fft1d.(eachrow(matrix))...)\n",
" hcat(fft1d.(eachrow(matrix_fft1))...)\n",
"end"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
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{
"data": {
"text/plain": [
"8-element Array{Complex{Float64},1}:\n",
" 36.0 + 0.0im \n",
" -4.0 + 9.65685424949238im \n",
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" -4.0 + 0.0im \n",
" -4.0 - 1.6568542494923806im\n",
" -4.0 - 4.0im \n",
" -4.0 - 9.65685424949238im "
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},
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"data": {
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"text/plain": [
"2×8 Array{Complex{Float64},2}:\n",
" 72.0-0.0im -8.0-7.83774e-15im … -8.0-3.39081e-13im\n",
" 0.0-4.40873e-15im 0.0+4.89859e-16im 0.0-1.87804e-13im"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(fft(1:8))\n",
"display(fft1d(1:8))\n",
"display(dft(1:8))\n",
"\n",
"\n",
"display(fft([[1:8...] [1:8...]]'))\n",
"display(fft2d([[1:8...] [1:8...]]'))\n",
"display(dft([[1:8...] [1:8...]]'))\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.2.0-DEV",
"language": "julia",
"name": "julia-1.2"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.2.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"using Images\n",
"using FFTW\n",
"using Formatting"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"8×8 Array{Int64,2}:\n",
" 1 2 6 7 15 16 28 29\n",
" 3 5 8 14 17 27 30 43\n",
" 4 9 13 18 26 31 42 44\n",
" 10 12 19 25 32 41 45 54\n",
" 11 20 24 33 40 46 53 55\n",
" 21 23 34 39 47 52 56 61\n",
" 22 35 38 48 51 57 60 62\n",
" 36 37 49 50 58 59 63 64"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"LUMINANCE_QUANTIZATION_TABLE = [\n",
" 16 11 10 16 24 40 51 61 \n",
" 12 12 14 19 26 58 60 55 \n",
" 14 13 16 24 40 57 69 56 \n",
" 14 17 22 29 51 87 80 62 \n",
" 18 22 37 56 68 109 103 77 \n",
" 24 35 55 64 81 104 113 92 \n",
" 49 64 78 87 103 121 120 101 \n",
" 72 92 95 98 112 100 103 99 \n",
" ]\n",
"\n",
"ZIGZAG = [\n",
" 0 1 5 6 14 15 27 28\n",
" 2 4 7 13 16 26 29 42\n",
" 3 8 12 17 25 30 41 43\n",
" 9 11 18 24 31 40 44 53\n",
" 10 19 23 32 39 45 52 54\n",
" 20 22 33 38 46 51 55 60\n",
" 21 34 37 47 50 56 59 61\n",
" 35 36 48 49 57 58 62 63\n",
" ] .+ 1"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"to_zigzag (generic function with 1 method)"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"function to_zigzag(block)\n",
" out_block = zeros(eltype(block), size(ZIGZAG))\n",
" for idx in CartesianIndices(ZIGZAG)\n",
" out_block[ZIGZAG[idx]] = block[idx]\n",
" # display(out_block)\n",
" end\n",
" reshape(out_block, (1,64))\n",
"end"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"720×1280 Array{Float32,2}:\n",
" 39.2166 39.4639 39.4639 39.0577 … 37.4843 37.4843 37.4843 37.4843\n",
" 39.4639 39.4639 39.0577 39.0577 37.4843 37.4843 37.4843 37.4843\n",
" 39.4639 39.0577 39.0577 39.0577 37.4843 37.4843 37.4843 37.4843\n",
" 39.0577 39.0577 39.0577 39.9165 38.0348 37.4843 37.4843 37.4843\n",
" 39.0577 39.9165 39.9165 39.9165 38.0348 37.176 37.4843 37.4843\n",
" 39.9165 39.9165 39.9165 40.1639 … 38.0348 38.0348 37.4843 37.4843\n",
" 39.9165 39.9165 39.9165 40.1639 38.0348 38.0348 37.4843 37.4843\n",
" 39.9165 39.9165 39.9165 40.1639 38.1327 38.0348 38.3432 37.4843\n",
" 39.4639 39.4639 39.9165 40.1639 39.4493 38.3432 38.0348 38.5484\n",
" 39.4639 39.4639 39.0577 40.1639 39.4493 38.3432 38.0348 38.5484\n",
" 39.4639 39.4639 39.0577 40.1639 … 39.4493 38.5905 38.0348 38.0348\n",
" 39.4639 39.0577 39.0577 40.1639 39.1925 39.4493 38.5905 38.0348\n",
" 39.0577 39.0577 39.0577 40.1639 39.1925 39.4493 38.5905 38.5905\n",
" ⋮ ⋱ \n",
" 30.5854 31.1969 31.7105 32.261 37.663 37.663 37.663 37.663 \n",
" 31.3927 31.3927 31.4021 31.3927 38.2135 38.2135 38.2135 38.4608\n",
" 31.64 31.64 31.64 30.5244 … 38.4608 38.4608 39.3196 39.3196\n",
" 31.3738 30.515 30.515 29.6562 38.4608 38.4608 39.3196 39.3196\n",
" 28.751 30.7666 30.7202 27.99 39.3196 39.3196 39.3196 39.3196\n",
" 29.049 31.4253 28.8394 30.0572 38.4608 38.4608 38.4608 38.4608\n",
" 29.6141 29.3899 26.2063 32.4233 38.2135 38.2135 38.2135 38.2135\n",
" 29.7077 29.1984 33.8936 25.0958 … 37.663 37.663 37.663 37.663 \n",
" 28.7364 32.2369 29.0447 29.6003 37.663 37.663 37.663 37.663 \n",
" 32.5504 24.4422 29.8614 31.7749 37.663 37.663 37.663 37.663 \n",
" 29.876 31.5507 29.8468 28.1386 37.3546 37.3546 37.3546 37.3546\n",
" 31.5645 30.7108 31.397 29.6708 38.2135 38.2135 38.2135 37.3546"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"8×8 Array{Float32,2}:\n",
" 55.4277 55.736 54.8772 54.8772 55.736 55.736 55.736 55.736 \n",
" 56.2866 56.2866 57.4537 57.4537 56.5949 55.736 55.736 55.736 \n",
" 57.9948 57.9948 57.1359 56.0813 55.2225 55.2225 55.736 56.5949\n",
" 58.2421 58.2421 58.2421 58.2421 58.2421 58.0463 56.9401 56.9401\n",
" 57.3833 58.4894 61.0659 62.7836 63.6424 61.6774 57.7989 55.2225\n",
" 58.4894 58.4894 58.9326 60.6502 61.5091 61.0659 58.2421 56.0813\n",
" 61.0659 59.6935 59.7914 59.1799 58.9326 58.0832 58.2421 57.7989\n",
" 61.0659 62.27 64.0855 64.0246 62.3679 59.8009 58.2421 56.9401"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"8×8 Array{Float32,2}:\n",
" -71.5723 -71.264 -72.1228 -72.1228 … -71.264 -71.264 -71.264 \n",
" -70.7134 -70.7134 -69.5463 -69.5463 -71.264 -71.264 -71.264 \n",
" -69.0052 -69.0052 -69.8641 -70.9187 -71.7775 -71.264 -70.4051\n",
" -68.7579 -68.7579 -68.7579 -68.7579 -68.9537 -70.0599 -70.0599\n",
" -69.6167 -68.5106 -65.9341 -64.2164 -65.3226 -69.2011 -71.7775\n",
" -68.5106 -68.5106 -68.0674 -66.3498 … -65.9341 -68.7579 -70.9187\n",
" -65.9341 -67.3065 -67.2086 -67.8201 -68.9168 -68.7579 -69.2011\n",
" -65.9341 -64.73 -62.9145 -62.9754 -67.1991 -68.7579 -70.0599"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"8×8 Array{Float32,2}:\n",
" -550.578 4.7784 … 0.00653681 0.205445 0.212533 \n",
" -13.5756 -2.92463 -0.472033 -0.130214 -0.218505 \n",
" -1.48771 1.21404 0.279535 -0.391432 0.330444 \n",
" -0.673342 -2.97597 -0.222817 -0.0539551 -0.0560064\n",
" 3.04324 0.102968 -0.474424 -0.0202312 0.0131407\n",
" -3.61937 -0.509858 … -0.253103 -0.123185 -0.0314786\n",
" -0.353786 0.00731296 -0.460769 -0.278703 -0.466107 \n",
" -0.00664318 0.52792 -0.0775939 -0.022749 0.307393 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"8×8 Array{Int32,2}:\n",
" -34 0 -1 0 0 0 0 0\n",
" -1 0 0 0 0 0 0 0\n",
" 0 0 0 0 0 0 0 0\n",
" 0 0 0 0 0 0 0 0\n",
" 0 0 0 0 0 0 0 0\n",
" 0 0 0 0 0 0 0 0\n",
" 0 0 0 0 0 0 0 0\n",
" 0 0 0 0 0 0 0 0"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"1×64 Array{Int32,2}:\n",
" -34 0 -1 0 0 -1 0 0 0 0 0 … 0 0 0 0 0 0 0 0 0 0 0 0"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"14400-element Array{Any,1}:\n",
" -44\n",
" -43\n",
" -43\n",
" -42\n",
" -42\n",
" -42\n",
" -41\n",
" -41\n",
" -41\n",
" -41\n",
" -40\n",
" -40\n",
" -39\n",
" ⋮\n",
" -42\n",
" -41\n",
" -41\n",
" -41\n",
" -41\n",
" -42\n",
" -43\n",
" -43\n",
" -44\n",
" -44\n",
" -44\n",
" -45"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"14400-element Array{Any,1}:\n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" ⋮ \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[-1, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[1, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] \n",
" Int32[0, 0, 0, 0, 0, 0, 0, 0, 0, 0 … 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"720×1280 Array{Float32,2}:\n",
" 141.368 141.226 141.226 141.956 … 143.855 143.855 143.855 143.855\n",
" 141.226 141.226 141.956 141.956 143.855 143.855 143.855 143.855\n",
" 141.226 141.956 141.956 141.956 143.855 143.855 143.855 143.855\n",
" 141.956 141.956 141.956 141.956 145.025 143.855 143.855 143.855\n",
" 141.956 141.956 141.956 141.956 145.025 145.025 143.855 143.855\n",
" 141.956 141.956 141.956 141.813 … 145.025 145.025 143.855 143.855\n",
" 141.956 141.956 141.956 141.813 145.025 145.025 143.855 143.855\n",
" 141.956 141.956 141.956 141.813 145.464 145.025 143.855 143.855\n",
" 141.226 141.226 141.956 141.813 143.713 143.855 145.025 144.728\n",
" 141.226 141.226 141.956 141.813 143.713 143.855 145.025 144.728\n",
" 141.226 141.226 141.956 141.813 … 143.713 143.713 145.025 145.025\n",
" 141.226 141.956 141.956 141.813 143.861 143.713 143.713 145.025\n",
" 141.956 141.956 141.956 141.813 143.861 143.713 143.713 143.713\n",
" ⋮ ⋱ \n",
" 130.487 130.63 130.333 131.503 138.299 138.299 138.299 138.299\n",
" 131.508 131.508 131.503 131.508 139.469 139.469 139.469 139.326\n",
" 131.366 131.366 131.366 131.514 … 139.326 139.326 139.326 139.326\n",
" 131.519 131.519 131.519 131.519 139.326 139.326 139.326 139.326\n",
" 130.059 133.853 132.392 130.498 139.326 139.326 139.326 139.326\n",
" 133.853 130.498 130.503 133.271 139.326 139.326 139.326 139.326\n",
" 132.535 131.673 134.006 134.879 139.469 139.469 139.469 139.469\n",
" 130.498 133.271 135.022 131.673 … 138.299 138.299 138.299 138.299\n",
" 132.546 133.995 131.376 130.064 138.299 138.299 138.299 138.299\n",
" 130.344 132.546 132.392 133.271 138.299 138.299 138.299 138.299\n",
" 129.905 132.409 134.879 134.874 139.469 139.469 139.469 139.469\n",
" 134.879 132.398 130.514 129.032 139.469 139.469 139.469 139.469"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"720×1280 Array{Float32,2}:\n",
" 115.448 114.641 114.641 114.938 … 115.459 115.459 115.459 115.459\n",
" 114.641 114.641 114.938 114.938 115.459 115.459 115.459 115.459\n",
" 114.641 114.938 114.938 114.938 115.459 115.459 115.459 115.459\n",
" 114.938 114.938 114.938 114.938 115.684 115.459 115.459 115.459\n",
" 114.938 114.938 114.938 114.938 115.684 115.684 115.459 115.459\n",
" 114.938 114.938 114.938 114.131 … 115.684 115.684 115.459 115.459\n",
" 114.938 114.938 114.938 114.131 115.684 115.684 115.459 115.459\n",
" 114.938 114.938 114.938 114.131 115.612 115.684 115.459 115.459\n",
" 114.641 114.641 114.938 114.131 114.652 115.459 115.684 116.562\n",
" 114.641 114.641 114.938 114.131 114.652 115.459 115.684 116.562\n",
" 114.641 114.641 114.938 114.131 … 114.652 114.652 115.684 115.684\n",
" 114.641 114.938 114.938 114.131 114.213 114.652 114.652 115.684\n",
" 114.938 114.938 114.938 114.131 114.213 114.652 114.652 114.652\n",
" ⋮ ⋱ \n",
" 128.011 128.818 129.696 129.921 114.702 114.702 114.702 114.702\n",
" 128.675 128.675 129.921 128.675 114.927 114.927 114.927 114.12 \n",
" 127.868 127.868 127.868 127.429 … 114.12 114.12 114.12 114.12 \n",
" 126.182 126.182 126.182 126.182 114.12 114.12 114.12 114.12 \n",
" 125.59 127.878 127.286 125.518 114.12 114.12 114.12 114.12 \n",
" 127.878 125.518 124.272 127.143 114.12 114.12 114.12 114.12 \n",
" 128.093 124.497 126.193 127.296 114.927 114.927 114.927 114.927\n",
" 125.518 127.143 128.103 124.497 … 114.702 114.702 114.702 114.702\n",
" 125.6 128.685 125.375 124.343 114.702 114.702 114.702 114.702\n",
" 127.204 125.6 127.286 127.143 114.702 114.702 114.702 114.702\n",
" 127.275 123.547 127.296 128.543 114.927 114.927 114.927 114.927\n",
" 127.296 126.04 121.78 126.172 114.927 114.927 114.927 114.927"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"img = load(\"../images/f124074.jpg\")\n",
"img_ycbcr = channelview(YCbCr.(img))\n",
"\n",
"for c in 1:3\n",
" channel = img_ycbcr[c,:,:]\n",
" row, col = size(channel)\n",
"\n",
" display(channel)\n",
" \n",
" DC = []\n",
" AC = []\n",
"\n",
" for i in 1:8:row\n",
" for j in 1:8:col\n",
" block = channel[i:i+7, j:j+7]\n",
"\n",
" block_shifted = block .- 127\n",
" block_dct = FFTW.dct(block_shifted)\n",
"\n",
" block_quantization = round.(Int32, block_dct ./ LUMINANCE_QUANTIZATION_TABLE)\n",
" # block_quantization = block_dct ./ LUMINANCE_QUANTIZATION_TABLE\n",
" block_zigzag = to_zigzag(block_quantization)\n",
"\n",
" if c == 1 && i == 1 + 8*10 && j == 1 + 8*3\n",
" display(block)\n",
" display(block_shifted)\n",
" display(block_dct)\n",
" display(block_quantization)\n",
" display(block_zigzag)\n",
" end\n",
"\n",
" # block_zigzag = collect(block_zigzag)\n",
" push!(DC, block_zigzag[1])\n",
" push!(AC, block_zigzag[2:end])\n",
" end\n",
" end\n",
"\n",
" if c == 1\n",
" display(DC)\n",
" display(AC)\n",
" end\n",
"end\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.2.0-DEV",
"language": "julia",
"name": "julia-1.2"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.2.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}