Mobilna aplikacija za pretvorbo slik iz formata raw v format png s pomočjo strojnega učenja

Mravljak, Uroš

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Title:	Mobilna aplikacija za pretvorbo slik iz formata raw v format png s pomočjo strojnega učenja
Authors:	ID Mravljak, Uroš (Author) ID Jesenko, David (Mentor) More about this mentor... ID Kohek, Štefan (Comentor)
Files:	VS_Mravljak_Uros_2025.pdf (2,93 MB) MD5: DFED0F0D82640F763AB86BB750BF0B86
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	V diplomskem delu je prikazan razvoj aplikacije za pretvorbo slik formata RAW v format PNG, pri čemer uporabljamo dva pristopa. Prvi temelji na standardnih algoritmih za pretvorbo slik, drugi pa na strojnem učenju, kar pomeni, da je bil model naučen čim bolj natančno pretvarjati sliko iz enega formata v drugega. Ta aplikacija dobro služi fotografom, ki zajemajo slike v formatu RAW, saj jih lahko na svojem mobilnem telefonu pretvorijo kar na poti. Na koncu sta sledili primerjava in analiza rezultatov za ugotavljanje, kateri postopek prinaša boljše rezultate. Za učenje modela je bilo uporabljenih 16 različnih slik, algoritem pa je bil implementiran s pomočjo knjižnic. Pretvorba z algoritmom je poskrbela za kvalitetnejše slike, vendar je bila pretvorba z modelom včasih hitrejša. Pretvorjene slike so bile primerjane z metrikama PSNR in SSIM ter analizirane.
Keywords:	raw, png, slika, pretvorba, strojno učenje
Place of publishing:	Maribor
Year of publishing:	2025
PID:	20.500.12556/DKUM-92497
Publication date in DKUM:	08.05.2025
Views:	0
Downloads:	8
Metadata:
Categories:	KTFMB - FERI
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Licences

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:	14.04.2025

Secondary language

Language:	English
Title:	Conversion app for converting images from raw to png format with machine learning
Abstract:	The thesis presents the development of an application for converting images from RAW format to PNG format, using two different approaches. The first approach is based on standard image conversion algorithms, while the second relies on machine learning, meaning that a model was trained to convert images from one format to another as accurately as possible. This application is especially useful for photographers who capture images in RAW format, as it allows them to convert images on the go directly on their mobile phones. In the end, a comparison and analysis of the results were conducted to determine which method yields better results. A total of 16 different images were used to train the model, and the algorithm was implemented using libraries. The algorithm-based conversion produced higher quality images, although the model-based conversion was sometimes faster. The converted images were compared and analyzed using the PSNR and SSIM metrics.
Keywords:	raw, png, image, conversion, machine learning

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