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Markku Mäkitalo
Markku Mäkitalo
Tampere University
在 tuni.fi 的电子邮件经过验证
标题
引用次数
引用次数
年份
Optimal inversion of the Anscombe transformation in low-count Poisson image denoising
M Mäkitalo, A Foi
IEEE Transactions on Image Processing 20 (1), 99-109, 2010
4112010
Optimal inversion of the generalized Anscombe transformation for Poisson-Gaussian noise
M Mäkitalo, A Foi
IEEE Transactions on Image Processing 22 (1), 91-103, 2012
3982012
A closed-form approximation of the exact unbiased inverse of the Anscombe variance-stabilizing transformation
M Mäkitalo, A Foi
IEEE Transactions on Image Processing 20 (9), 2697-2698, 2011
1142011
Noise parameter mismatch in variance stabilization, with an application to Poisson–Gaussian noise estimation
M Mäkitalo, A Foi
IEEE Transactions on Image Processing 23 (12), 5348-5359, 2014
812014
Denoising of single-look SAR images based on variance stabilization and nonlocal filters
M Mäkitalo, A Foi, D Fevralev, V Lukin
2010 International Conference on Mathematical Methods in Electromagnetic …, 2010
592010
Blockwise multi-order feature regression for real-time path-tracing reconstruction
M Koskela, K Immonen, M Mäkitalo, A Foi, T Viitanen, P Jääskeläinen, ...
ACM Transactions on Graphics (TOG) 38 (5), 1-14, 2019
562019
Poisson-gaussian denoising using the exact unbiased inverse of the generalized anscombe transformation
M Mäkitalo, A Foi
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
512012
On the inversion of the Anscombe transformation in low-count Poisson image denoising
M Mäkitalo, A Foi
2009 International Workshop on Local and Non-Local Approximation in Image …, 2009
402009
Foveated real-time path tracing in visual-polar space
M Koskela, A Lotvonen, M Mäkitalo, P Kivi, T Viitanen, P Jääskeläinen
Eurographics Symposium on Rendering, 2019
282019
Image and video coding techniques for ultra-low latency
J Žádník, M Mäkitalo, J Vanne, P Jääskeläinen
ACM Computing Surveys (CSUR) 54 (11s), 1-35, 2022
182022
Sparse Sampling for Real-time Ray Tracing.
T Viitanen, M Koskela, K Immonen, MJ Mäkitalo, P Jääskeläinen, J Takala
VISIGRAPP (1: GRAPP), 295-302, 2018
142018
Real-time rendering of point clouds with photorealistic effects: a survey
PEJ Kivi, MJ Mäkitalo, J Žádník, J Ikkala, VKM Vadakital, PO Jääskeläinen
IEEE Access 10, 13151-13173, 2022
112022
Systematic evaluation of the quality benefits of spatiotemporal sample reprojection in real-time stereoscopic path tracing
MJ Mäkitalo, PEJ Kivi, PO Jääskeläinen
IEEE Access 8, 133514-133526, 2020
82020
Exact Unbiased Inverse of the Anscombe Transformation and its Poisson-Gaussian Generalization
M Mäkitalo
Tampere University of Technology, 2013
62013
Spatially adaptive alpha-rooting in BM3D sharpening
M Mäkitalo, A Foi
Image Processing: Algorithms and Systems IX 7870, 316-327, 2011
62011
Reducing computational complexity of real-time stereoscopic ray tracing with spatiotemporal sample reprojection
M Mäkitalo, P Kivi, M Koskela, P Jääskeläinen
SCITEPRESS, 2019
52019
Exposed datapath optimizations for loop scheduling
HO Kultala, PO Jääskeläinen, J IJzerman, LK Lehtonen, TT Viitanen, ...
2017 International Conference on Embedded Computer Systems: Architectures …, 2017
42017
DDISH-GI: Dynamic Distributed Spherical Harmonics Global Illumination
J Ikkala, P Kivi, J Alanko, M Mäkitalo, P Jääskeläinen
Advances in Computer Graphics: 38th Computer Graphics International …, 2021
32021
Tauray: A Scalable Real-Time Open-Source Path Tracer for Stereo and Light Field Displays
J Ikkala, M Mäkitalo, T Lauttia, E Leria, P Jääskeläinen
22022
TauBench: Dynamic benchmark for graphics rendering
J Alanko, M Mäkitalo, P Jääskeläinen
INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, 172-179, 2022
22022
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