CLIJ: GPU-accelerated image processing for everyone
نویسندگان
چکیده
منابع مشابه
Image Processing for Everyone
The techniques of digital image processing have found a myriad of applications in diverse fields of scientific, commercial, and technical endeavor. Image processing education therefore needs to cater to a wide spectrum of people coming from different educational backgrounds. In this paper, we describe tools and techniques that facilitate a gentle introduction to image processing. We present nov...
متن کاملA GPU- Accelerated Framework for Image Processing and Computer Vision
This paper presents and briefly describes the state of the art of accelerating image processing with graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an open source multiplatform library for GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. GpuCV is des...
متن کاملGPU-Accelerated Block-Max Query Processing
In this paper, we propose a method for parallel top-k query processing on GPU(s). We employ a novel partitioning strategy which splits the posting lists according to document ID numbers. Individual GPU threads simultaneously perform top-k query processing within their allocated subsets of posting lists, the results of the query are merged to give the final top-k results. We further design a CPU...
متن کاملToward GPU Accelerated Data Stream Processing
In recent years, the need for continuous processing and analysis of data streams has increased rapidly. To achieve high throughput-rates, stream-applications make use of operatorparallelization, batching-strategies and distribution. Another possibility is to utilize co-processors capabilities per operator. Further, the database community noticed, that a columnoriented architecture is essential ...
متن کاملGPU Accelerated Medical Image Registration Techniques
Graphics processing unit (GPUs) are used in wide range of application now a days particularly Medical image processing in GPU becomes popular recently. Medical imaging procedures are often computationally demanding due to three dimensional data sets. With enhancing performances of graphic processors, improved programming support, GPU has emerged as a competitive parallel computing platform for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Methods
سال: 2019
ISSN: 1548-7091,1548-7105
DOI: 10.1038/s41592-019-0650-1