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Program for evaluating image quality using neural network
 Šimíček, Pavel ; Kratochvíl, Tomáš (referee) ; Slanina, Martin (advisor)
This thesis studies the assessment of picture quality using the artificial neural network approach. In the first part, two main ways to evaluate the picture quality are described. It is the subjective assessment of picture quality, where a group of people watches the picture and evaluates its quality, and objective assessment which is based on mathematical relations. Calculation of structural similarity index (SSIM) is analyzed in detail. In the second part, the basis of neural networks is described. A neural network was created in Matlab, designed to simulate subjective assessment scores based on the SSIM index.
Detailed record
Program for evaluating image quality using neural network
 Šimíček, Pavel ; Kratochvíl, Tomáš (referee) ; Slanina, Martin (advisor)
This thesis studies the assessment of picture quality using the artificial neural network approach. In the first part, two main ways to evaluate the picture quality are described. It is the subjective assessment of picture quality, where a group of people watches the picture and evaluates its quality, and objective assessment which is based on mathematical relations. Calculation of structural similarity index (SSIM) is analyzed in detail. In the second part, the basis of neural networks is described. A neural network was created in Matlab, designed to simulate subjective assessment scores based on the SSIM index.
Detailed record

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7 Šimíček, Petr
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