Add to ORKGThis master's thesis deals with acceleration of pixel interpolation methods using the GPU and NVIDIA (R) CUDA TM architecture. Graphic output is represented by a demonstrational application for geometrical image transforms using chosen interpolation method. Time critical parts of the code are moved on the GPU and executed in parallel. There are used highly optimized routines from the OpenCV library, made by the Intel company for an image and video processing
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
Acceleration of image processing can be done by more than one way. This work is oriented to new tech...
This paper presents an algorithm to generate an interpolated view between two camera viewpoints in a...
This master's thesis deals with acceleration of geometrical image transforms using the GPU and NVIDI...
In order to scale video image real-timely, a GPU-aided parallel interpolation algorithm was proposed...
This thesis investigates possibilities to perform image interpolation on an FPGA instead of on a gra...
Different algorithms have been raised for viewshed analysis and measures were taken to get the compr...
In image/video processing software and hardware products, low complexity interpolation algorithms, s...
In this work, we introduce real time image processing techniques using modern programmable Graphic P...
The attention for low latency computer vision and video processing applications are growing for ever...
We first present two GPU implementations of the standard Inverse Distance Weighting (IDW) interpolat...
The process of filtering digital images represented by complex Cartesian allows to use the available...
Graphics Processing Units (GPUs) are microprocessors attached to graphics cards, which are dedicated...
This book is a guide to explore how accelerating of computer vision applications using GPUs will hel...
AbstractThis paper intends to achieve high performance in terms of time by implementing various time...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
Acceleration of image processing can be done by more than one way. This work is oriented to new tech...
This paper presents an algorithm to generate an interpolated view between two camera viewpoints in a...
This master's thesis deals with acceleration of geometrical image transforms using the GPU and NVIDI...
In order to scale video image real-timely, a GPU-aided parallel interpolation algorithm was proposed...
This thesis investigates possibilities to perform image interpolation on an FPGA instead of on a gra...
Different algorithms have been raised for viewshed analysis and measures were taken to get the compr...
In image/video processing software and hardware products, low complexity interpolation algorithms, s...
In this work, we introduce real time image processing techniques using modern programmable Graphic P...
The attention for low latency computer vision and video processing applications are growing for ever...
We first present two GPU implementations of the standard Inverse Distance Weighting (IDW) interpolat...
The process of filtering digital images represented by complex Cartesian allows to use the available...
Graphics Processing Units (GPUs) are microprocessors attached to graphics cards, which are dedicated...
This book is a guide to explore how accelerating of computer vision applications using GPUs will hel...
AbstractThis paper intends to achieve high performance in terms of time by implementing various time...
Abstract—In this paper, we construe key factors in design and evaluation of image processing algorit...
Acceleration of image processing can be done by more than one way. This work is oriented to new tech...
This paper presents an algorithm to generate an interpolated view between two camera viewpoints in a...