This article describes expediency of using a graphics processing unit (GPU) in big data processing in the context of digital images processing. It provides a short description of a parallel computing technology and its usage in different areas, definition of the image noise and a brief overview of some noise removal algorithms. It also describes some basic requirements that should be met by certain noise removal algorithm in the projection to computer tomography. It provides comparison of the performance with and without using GPU as well as with different percentage of using CPU and GPU
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
An efficient implementation are necessary, as most medical imaging methods are computational expens...
Obtaining high quality images MR is desirable not only for accurate visual assessment but also faura...
This thesis puts to the test the power of parallel computing on the GPU against the massive computat...
A parallel algorithm for image noise removal is proposed. The algorithm is based on peer group conce...
A parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU computi...
AbstractA parallel algorithm for image noise removal is proposed. The algorithm is based on peer gro...
This article analyzed processes such as parallel algorithms for digital processing of images in grap...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
Click on the DOI link to access the article (may not be free).Traditional methods for processing lar...
In general, a computer program will execute instructions serially. These instructions will be run on...
AbstractA parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU...
Edge detection is especially important for computer vision and generally for image processing and vi...
AbstractThis paper intends to achieve high performance in terms of time by implementing various time...
Abstract — A major challenge in image processing is to attain high precision and real-time performan...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
An efficient implementation are necessary, as most medical imaging methods are computational expens...
Obtaining high quality images MR is desirable not only for accurate visual assessment but also faura...
This thesis puts to the test the power of parallel computing on the GPU against the massive computat...
A parallel algorithm for image noise removal is proposed. The algorithm is based on peer group conce...
A parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU computi...
AbstractA parallel algorithm for image noise removal is proposed. The algorithm is based on peer gro...
This article analyzed processes such as parallel algorithms for digital processing of images in grap...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
Click on the DOI link to access the article (may not be free).Traditional methods for processing lar...
In general, a computer program will execute instructions serially. These instructions will be run on...
AbstractA parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU...
Edge detection is especially important for computer vision and generally for image processing and vi...
AbstractThis paper intends to achieve high performance in terms of time by implementing various time...
Abstract — A major challenge in image processing is to attain high precision and real-time performan...
This diploma shows how to solve a compute-intensive problem using a graphics processing unit. Curre...
An efficient implementation are necessary, as most medical imaging methods are computational expens...
Obtaining high quality images MR is desirable not only for accurate visual assessment but also faura...