Visualizing and Communicating Errors in Rendered Images
(2021) p.301-320- Abstract
- In rendering research and development, it is important to have a formalized
way of visualizing and communicating how and where errors occur when
rendering with a given algorithm. Such evaluation is often done by comparing
the test image to a ground-truth reference image. We present a tool for doing
this for both low and high dynamic range images. Our tool is based on a
perception-motivated error metric, which computes an error map image. For
high dynamic range images, it also computes a visualization of the exposures
that may generate large errors.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2cd44b89-34e6-417c-b047-ff666e859ebe
- author
- Andersson, Pontus LU ; Akenine-Möller, Tomas LU and Nilsson, Jim
- organization
- publishing date
- 2021-08-04
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Ray Tracing Gems II : Next Generation Real-Time Rendering with DXR, Vulkan, and OptiX - Next Generation Real-Time Rendering with DXR, Vulkan, and OptiX
- editor
- Marrs, Adam ; Shirley, Peter and Wald, Ingo
- pages
- 19 pages
- publisher
- Apress
- ISBN
- 978-1-4842-7185-8
- 978-1-4842-7187-2
- project
- Evaluating and Improving Rendered Visual Experiences
- WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
- language
- English
- LU publication?
- yes
- id
- 2cd44b89-34e6-417c-b047-ff666e859ebe
- alternative location
- https://link.springer.com/book/10.1007/978-1-4842-7185-8
- date added to LUP
- 2021-08-12 08:46:03
- date last changed
- 2024-03-06 03:22:09
@inbook{2cd44b89-34e6-417c-b047-ff666e859ebe, abstract = {{In rendering research and development, it is important to have a formalized<br/>way of visualizing and communicating how and where errors occur when<br/>rendering with a given algorithm. Such evaluation is often done by comparing<br/>the test image to a ground-truth reference image. We present a tool for doing<br/>this for both low and high dynamic range images. Our tool is based on a<br/>perception-motivated error metric, which computes an error map image. For<br/>high dynamic range images, it also computes a visualization of the exposures<br/>that may generate large errors.}}, author = {{Andersson, Pontus and Akenine-Möller, Tomas and Nilsson, Jim}}, booktitle = {{Ray Tracing Gems II : Next Generation Real-Time Rendering with DXR, Vulkan, and OptiX}}, editor = {{Marrs, Adam and Shirley, Peter and Wald, Ingo}}, isbn = {{978-1-4842-7185-8}}, language = {{eng}}, month = {{08}}, pages = {{301--320}}, publisher = {{Apress}}, title = {{Visualizing and Communicating Errors in Rendered Images}}, url = {{https://link.springer.com/book/10.1007/978-1-4842-7185-8}}, year = {{2021}}, }