Colour transfer between images
Colour transfer between images is a process aimed at adjusting the colour composition of one image to match the reference colours of another. The goal of this project is to implement and compare two colour transfer algorithms: Reinhard et al.’s method (2001) and Pitié et al.’s method (2005), asse...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2025
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/184130 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Colour transfer between images is a process aimed at adjusting the colour composition
of one image to match the reference colours of another. The goal of this project is to
implement and compare two colour transfer algorithms: Reinhard et al.’s method (2001)
and Pitié et al.’s method (2005), assessing their performance in terms of image quality
and how they preserve details and the overall quality of the colour transfer.
This report also explores the potential improvement in colour transfer quality by
incorporating semantic segmentation techniques, such as the Segment Anything Model
(SAM) and YOLO, to enhance contextual awareness in the process.
In both areas, we will explore various test cases and evaluates how each algorithm
handles different image compositions and colour transfers.
The findings suggest that while both algorithms have their merits, context-aware
segmentation significantly improves the results, allowing for more accurate and visually
consistent colour transfers. This paper contributes to ongoing research in image
processing by proposing an integrated approach combining traditional methods with
modern segmentation techniques for enhanced image colour manipulation. |
|---|