Implementation of BM3D filter on intel xeon phi for rendering in blender cycles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10240535" target="_blank" >RIV/61989100:27740/18:10240535 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-97136-0_8" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-97136-0_8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-97136-0_8" target="_blank" >10.1007/978-3-319-97136-0_8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Implementation of BM3D filter on intel xeon phi for rendering in blender cycles

Popis výsledku v původním jazyce

In this paper parallel implementation of Sparse 3D Transform-Domain Collaborative filter (BM3D) on the Intel Xeon Phi architecture is presented. Efficiency of the implementation in terms of speedup compared to serial implementation of the filter is demonstrated on denoising of rendered images. We also provide comparison with another parallel CPU version and show that ours performs better. Using the state-of-the-art image filters such as BM3D offers powerful denoising capability in the area of image filtering. To achieve the highest possible quality of the result, the filter has to perform multiple demanding tasks over a single image. Effective implementation of the filter is therefore very important. This is also the case, when filtering is used for image rendering. Rendering times can be significantly decreased by application of powerful time efficient denoising filters. Unfortunately the existing serial implementation of the BM3D filter is time consuming. In this paper we provide efficient parallel implementation of the BM3D filter, and we apply it as a noise reduction technique to the rendered images that reduces the rendering times. We also provide an optimized version of the filter for the Intel Xeon Phi and Intel Xeon architecture.

Název v anglickém jazyce

Implementation of BM3D filter on intel xeon phi for rendering in blender cycles

Popis výsledku anglicky

In this paper parallel implementation of Sparse 3D Transform-Domain Collaborative filter (BM3D) on the Intel Xeon Phi architecture is presented. Efficiency of the implementation in terms of speedup compared to serial implementation of the filter is demonstrated on denoising of rendered images. We also provide comparison with another parallel CPU version and show that ours performs better. Using the state-of-the-art image filters such as BM3D offers powerful denoising capability in the area of image filtering. To achieve the highest possible quality of the result, the filter has to perform multiple demanding tasks over a single image. Effective implementation of the filter is therefore very important. This is also the case, when filtering is used for image rendering. Rendering times can be significantly decreased by application of powerful time efficient denoising filters. Unfortunately the existing serial implementation of the BM3D filter is time consuming. In this paper we provide efficient parallel implementation of the BM3D filter, and we apply it as a noise reduction technique to the rendered images that reduces the rendering times. We also provide an optimized version of the filter for the Intel Xeon Phi and Intel Xeon architecture.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LM2015070" target="_blank" >LM2015070: IT4Innovations národní superpočítačové centrum</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11087

ISBN

978-3-319-97135-3

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

14

Strana od-do

101-114

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Karolinka

Datum konání akce

22. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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