Author
Shutova, A., Kınlı, Osman Furkan, Özcan, Barış, Kıraç, Mustafa Furkan
Publication Date
2023
Publication Place
-
IEEE
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
979-835030249-3
Record ID
5c37d093-f4a5-47ba-96b2-40fa56973edd
Library Location
Computer Science
Date
2023
Sample Text
This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. To evaluate the results, a sufficient number of viewers were asked to assess the visual quality of the proposed solutions, considering the subjective nature of the task. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering.
DOI
10.1109/CVPRW59228.2023.00192
