Supplementary Material underlying the BSc thesis: Pixel Fixer: Semi-Automated Techniques for Correcting Pixel Art

DOI:10.4121/11446578-c1f3-474c-9cc4-6978a79b675b.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/11446578-c1f3-474c-9cc4-6978a79b675b

Datacite citation style

Bites, Rares (2025): Supplementary Material underlying the BSc thesis: Pixel Fixer: Semi-Automated Techniques for Correcting Pixel Art. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/11446578-c1f3-474c-9cc4-6978a79b675b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This serves as the supplementary material for my Bachelor thesis focused on semi-automatic correction of pixel art artifacts (namely banding and pillow-shading). It consists of two folders: one containing PSD files for the banding correction algorithm, including annotated layers that allow identification and reproduction of all modifications done, without the original images due to copyright restrictions; the other folder holds the input images (all original designs) and corresponding annotations for the pillow-shading correction algorithm, enabling full reproduction of the research results. The files were manually created to facilitate reproducibility of the proposed methods. Additionally, each folder includes a readme file that provides instructions for reproducing the research results.

History

  • 2025-06-24 first online, published, posted

Publisher

4TU.ResearchData

Format

zipped files in two folders: image/.png, image/vnd.adobe.photoshop, text/.rtf

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science

DATA

Files (1)