29 lines
1.1 KiB
Mathematica
29 lines
1.1 KiB
Mathematica
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clear;
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close all;
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% Codage de Huffman de l'image initiale :
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load exercice_1_TP1;
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frequences = histogramme/sum(histogramme);
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dico = huffmandict(I_min:I_max,frequences);
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% Calcul du coefficient de compression obtenu par le codage de Huffman :
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coeff_compression_avant_decorrelation = coeff_compression_image(histogramme,dico);
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fprintf('Coefficient de compression avant decorrelation : %.4f\n',coeff_compression_avant_decorrelation);
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## 1.13
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% Codage de Huffman de l'image decorrelee :
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load exercice_2_TP1;
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set(0,'RecursionLimit',550); % Plus de 500 appels recursifs (nombre d'entiers a coder : 2*I_max+1 = 511 > 500)
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frequences = histogramme/sum(histogramme);
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dico = huffmandict(I_min:I_max,frequences);
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% Calcul du coefficient de compression obtenu par decorrelation prealable au codage de Huffman :
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coeff_compression_apres_decorrelation = coeff_compression_image(histogramme,dico);
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fprintf('Coefficient de compression apres decorrelation : %.4f\n',coeff_compression_apres_decorrelation);
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## 1.57
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% Calcul du gain en compression :
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fprintf('Gain en compression : %.4f\n',coeff_compression_apres_decorrelation/coeff_compression_avant_decorrelation);
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