Jezik: | Slovenski jezik |
---|---|
Leto izida: | 2021 |
Tipologija: | 2.11 - Diplomsko delo |
Organizacija: | UL FRI - Fakulteta za računalništvo in informatiko |
Založnik: | [Ž. Šolar] |
UDK: | 004.85:343.98(043.2) |
COBISS: | 75923971 |
Št. ogledov: | 282 |
Št. prenosov: | 50 |
Ocena: | 0 (0 glasov) |
Metapodatki: |
Sekundarni jezik: | Angleški jezik |
---|---|
Sekundarni naslov: | Super resolution of face images in digital forensics |
Sekundarni povzetek: | 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. |
Sekundarne ključne besede: | 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; |
Vrsta dela (COBISS): | Diplomsko delo/naloga |
Študijski program: | 1000470 |
Konec prepovedi (OpenAIRE): | 1970-01-01 |
Komentar na gradivo: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Strani: | 39 str. |
ID: | 13324748 |