Language: | Slovenian |
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Year of publishing: | 2021 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [Ž. Šolar] |
UDC: | 004.85:343.98(043.2) |
COBISS: | 75923971 |
Views: | 282 |
Downloads: | 50 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | Super resolution of face images in digital forensics |
Secondary abstract: | The thesis includes the problem description, development and testing of a convolutional neural network for single image super-resolution in digital forensics. Insufficient resolution of images and other image digital evidence is a common occurrence in the field of digital forensics. This paper presents previously developed solutions for single image super-resolution using Deep Learning based on neural networks. It then describes the implementation of a solution for quality enhancement in low-resolution images of human faces using convolutional neural network and the comparison of the solution results with existing solutions. |
Secondary keywords: | super-resolution;machine learning;CNN;neural networks;autoencoder;person identification;identification;verification;computer science;computer and information science;diploma;Strojno učenje;Umetna inteligenca;Računalniška forenzika;Računalništvo;Univerzitetna in visokošolska dela; |
Type (COBISS): | Bachelor thesis/paper |
Study programme: | 1000470 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 39 str. |
ID: | 13324748 |