Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Mantiuk, Rafal"'
Publikováno v:
SIGGRAPH 2024 Technical Papers, Article 129
ColorVideoVDP is a video and image quality metric that models spatial and temporal aspects of vision, for both luminance and color. The metric is built on novel psychophysical models of chromatic spatiotemporal contrast sensitivity and cross-channel
Externí odkaz:
http://arxiv.org/abs/2401.11485
The vast majority of standard image and video content available online is represented in display-encoded color spaces, in which pixel values are conveniently scaled to a limited range (0-1) and the color distribution is approximately perceptually uni
Externí odkaz:
http://arxiv.org/abs/2312.03640
Autor:
Gokbudak, Fazilet, Sztrajman, Alejandro, Zhou, Chenliang, Zhong, Fangcheng, Mantiuk, Rafal, Oztireli, Cengiz
In this paper, we introduce a technique to estimate measured BRDFs from a sparse set of samples. Our approach offers accurate BRDF reconstructions that are generalizable to new materials. This opens the door to BDRF reconstructions from a variety of
Externí odkaz:
http://arxiv.org/abs/2311.15783
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human ability to fuse
Externí odkaz:
http://arxiv.org/abs/2310.16120
High dynamic range (HDR) rendering has the ability to faithfully reproduce the wide luminance ranges in natural scenes, but how to accurately assess the rendering quality is relatively underexplored. Existing quality models are mostly designed for lo
Externí odkaz:
http://arxiv.org/abs/2310.12877
Autor:
Hanji, Param, Mantiuk, Rafał K.
Publikováno v:
Transactions on Computational Imaging, 9, pp.721-731, 2023
Merging multi-exposure image stacks into a high dynamic range (HDR) image requires knowledge of accurate exposure times. When exposure times are inaccurate, for example, when they are extracted from a camera's EXIF metadata, the reconstructed HDR ima
Externí odkaz:
http://arxiv.org/abs/2308.02968
High-Dynamic-Range Visual-Difference-Predictor version 3, or HDR-VDP-3, is a visual metric that can fulfill several tasks, such as full-reference image/video quality assessment, prediction of visual differences between a pair of images, or prediction
Externí odkaz:
http://arxiv.org/abs/2304.13625
Autor:
Liang, Hanxue, Wu, Tianhao, Hanji, Param, Banterle, Francesco, Gao, Hongyun, Mantiuk, Rafal, Oztireli, Cengiz
Neural view synthesis (NVS) is one of the most successful techniques for synthesizing free viewpoint videos, capable of achieving high fidelity from only a sparse set of captured images. This success has led to many variants of the techniques, each e
Externí odkaz:
http://arxiv.org/abs/2303.15206
This work presents a survey and a user evaluation of tone mapping operators (TMOs) for high dynamic range (HDR) video, i.e. TMOs that explicitly include a temporal model for processing of variations in the input HDR images in the time domain. The mai
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92672
Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each representing a different style. Despite this, existing learning-based metho
Externí odkaz:
http://arxiv.org/abs/2209.15165