Accelerating block-matching and 3D filtering method for image denoising on GPUs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372625" target="_blank" >RIV/00216208:11320/17:10372625 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=.roh9wweaJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=.roh9wweaJ</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11554-017-0737-9" target="_blank" >10.1007/s11554-017-0737-9</a>
Alternative languages
Result language
angličtina
Original language name
Accelerating block-matching and 3D filtering method for image denoising on GPUs
Original language description
Denoising photographs and video recordings is an important task in the domain of image processing. In this paper, we focus on block-matching and 3D filtering (BM3D) algorithm, which uses self-similarity of image blocks to improve the noise-filtering process. Even though this method has achieved quite impressive results in the terms of denoising quality, it is not being widely used. One of the reasons is a fact that the method is extremely computationally demanding. In this paper, we present a CUDA-accelerated implementation which increased the image processing speed significantly and brings the BM3D method much closer to real applications. The GPU implementation of the BM3D algorithm is not as straightforward as the implementation of simpler image processing methods, and we believe that some parts (especially the block-matching) can be utilized separately or provide guidelines for similar algorithms.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GP14-14292P" target="_blank" >GP14-14292P: Employing Modern Parallel Architectures in Specific Domains of Database Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Real-Time Image Processing
ISSN
1861-8200
e-ISSN
—
Volume of the periodical
Neuveden
Issue of the periodical within the volume
29.11.2017
Country of publishing house
DE - GERMANY
Number of pages
15
Pages from-to
1-15
UT code for WoS article
000501450300026
EID of the result in the Scopus database
2-s2.0-85035311240