Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
RAFT-HDR: FACE AWARE DEGHOSTING ALGORITHM FOR HIGH DYNAMIC RANGE IMAGING
Download
RAFT-HDR FACE AWARE DEGHOSTING ALGORITHM FOR HIGH DYNAMIC RANGE IMAGING.pdf
Date
2023-9-11
Author
Suğur, Barış
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
160
views
102
downloads
Cite This
Creating a high dynamic range (HDR) image from differently exposed images is a complex problem, especially for dynamic scenes. Most existing algorithms often match the luminance of frames to a reference image and merge exposure-matched frames into a single HDR image. However, due to the motion in the exposure bracket, this process produces artifacts such as ghosting or tearing in the merged image. These issues not only degrade the perceptual quality of the final result but also affect the accuracy of face recognition algorithms. In this thesis, we propose a face-aware optical flow-based deghosting algorithm for HDR imaging using multiple images with different exposures. We focus on preserving the facial features across the exposure bracket and in the merged HDR results. The proposed approach leverages a previous learning-based optical flow method for image alignment before merging, significantly improving facial recognition accuracy while maintaining real-time performance.
Subject Keywords
High Dynamic Range
,
Optical Flow
,
Deep Learning
,
Deghosting
,
Face Recognition
URI
https://hdl.handle.net/11511/105959
Collections
Graduate School of Natural and Applied Sciences, Thesis
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Suğur, “RAFT-HDR: FACE AWARE DEGHOSTING ALGORITHM FOR HIGH DYNAMIC RANGE IMAGING,” M.S. - Master of Science, Middle East Technical University, 2023.