Abstract—Non-Local Means (NLM) algorithm is widely con-sidered as a state-of-the-art denoising filter in many research fields. High computational complexity led to implementations on Graphic Processor Unit (GPU) architectures, which achieve reasonable running times by filtering, slice-by-slice, 3D datasets with a 2D NLM approach. Here we present a fully 3D NLM implementation on a multi-GPU architecture and suggest its high scalability. The performance results we discuss encourage the coding of further filter improvements and the investigation of a large spectrum of applicative scenarios. I
In this thesis, we propose a computationally efficient algorithm for video denoising that exploits t...
Recently, advanced computing systems are widely adopted in order to intensively elaborate a huge amo...
The most challenging aspect of video and image denoising is to preserve texture and small details, w...
Non-Local Means (NLM) algorithm is widely considered as a state-of-the-art denoising filter in many ...
Nonlocal Means (NLM) algorithm is widely considered as a state-of-the-art denoising filter in many r...
Abstract—Denoising is a crucial step to increase image conspicuity and to improve the performances o...
Non-local means is a state-of-the-art image denoising algorithm which uses weighted contribution of ...
An interesting challenge in E-health is to perform real-time diagnosis. In many distributed computin...
BM3D (Block-Matching and 3D Filtering) is one of the state-of-art image denoising methods. Efficient...
We give a brief discussion of denoising algorithms for depth data and review our unified approach to...
The use of image denoising techniques is an important part of many medical imaging applications. One...
The raw computational power of GPU accelerators enables fast denoising of 3D MR images using bilater...
This article proposes a fast and open-source implementation of the well-known Non-Local Means (NLM) ...
The proposed method can be tested here: http://www.irisa.fr/visages/benchmarks/One critical issue in...
Image De-noising forms an integral part of image processing. It is used as a standalone algorithm fo...
In this thesis, we propose a computationally efficient algorithm for video denoising that exploits t...
Recently, advanced computing systems are widely adopted in order to intensively elaborate a huge amo...
The most challenging aspect of video and image denoising is to preserve texture and small details, w...
Non-Local Means (NLM) algorithm is widely considered as a state-of-the-art denoising filter in many ...
Nonlocal Means (NLM) algorithm is widely considered as a state-of-the-art denoising filter in many r...
Abstract—Denoising is a crucial step to increase image conspicuity and to improve the performances o...
Non-local means is a state-of-the-art image denoising algorithm which uses weighted contribution of ...
An interesting challenge in E-health is to perform real-time diagnosis. In many distributed computin...
BM3D (Block-Matching and 3D Filtering) is one of the state-of-art image denoising methods. Efficient...
We give a brief discussion of denoising algorithms for depth data and review our unified approach to...
The use of image denoising techniques is an important part of many medical imaging applications. One...
The raw computational power of GPU accelerators enables fast denoising of 3D MR images using bilater...
This article proposes a fast and open-source implementation of the well-known Non-Local Means (NLM) ...
The proposed method can be tested here: http://www.irisa.fr/visages/benchmarks/One critical issue in...
Image De-noising forms an integral part of image processing. It is used as a standalone algorithm fo...
In this thesis, we propose a computationally efficient algorithm for video denoising that exploits t...
Recently, advanced computing systems are widely adopted in order to intensively elaborate a huge amo...
The most challenging aspect of video and image denoising is to preserve texture and small details, w...
Add to ORKG