Owing to the sequential nature of memory interfaces, as well as the growing processor-memory performance gap, the design of parallel image processors is often faced with a challenge in deciding memory organisation and distribution. This work addresses the problem of memory access bottlenecks in parallel digital image processors and presents one solution which demonstrates up to 93.4% reduction over standard sequential methods
In recent years, image processing has been a key application area for mobile and embedded computing ...
The growing rate of technology improvements has caused dramatic advances in processor performances, ...
Computer vision and computational photography are hot applications areas for mobile and embedded com...
The paper introduces a software architecture to support a user from the image processing community i...
Main aim of this project is to investigate the application of parallel processing techniques to digi...
Parallel programs are characterised by their speedup behaviour. Each parallel program is a collectio...
Abstract — A major challenge in image processing is to attain high precision and real-time performan...
In this paper we show how an extensive library of data parallel low level image processing operation...
[[abstract]]© 1987 中國工程師學會-For large-sized local image processing, this architecture will save much ...
In embedded vision systems, parallel computation of the integral image presents several design chall...
Processor speeds are increasing rapidly, but memory speeds are not keeping pace. Image processing is...
Advanced signal processing such as multi-resolution decomposition and three-dimensional processing a...
This paper describes a software architecture that allows image processing researchers to develop par...
From self-driving cars to high dynamic range (HDR) imaging, the demand for image-based applications ...
Image processing is widely used in many applications, including medical imaging, industrial manufact...
In recent years, image processing has been a key application area for mobile and embedded computing ...
The growing rate of technology improvements has caused dramatic advances in processor performances, ...
Computer vision and computational photography are hot applications areas for mobile and embedded com...
The paper introduces a software architecture to support a user from the image processing community i...
Main aim of this project is to investigate the application of parallel processing techniques to digi...
Parallel programs are characterised by their speedup behaviour. Each parallel program is a collectio...
Abstract — A major challenge in image processing is to attain high precision and real-time performan...
In this paper we show how an extensive library of data parallel low level image processing operation...
[[abstract]]© 1987 中國工程師學會-For large-sized local image processing, this architecture will save much ...
In embedded vision systems, parallel computation of the integral image presents several design chall...
Processor speeds are increasing rapidly, but memory speeds are not keeping pace. Image processing is...
Advanced signal processing such as multi-resolution decomposition and three-dimensional processing a...
This paper describes a software architecture that allows image processing researchers to develop par...
From self-driving cars to high dynamic range (HDR) imaging, the demand for image-based applications ...
Image processing is widely used in many applications, including medical imaging, industrial manufact...
In recent years, image processing has been a key application area for mobile and embedded computing ...
The growing rate of technology improvements has caused dramatic advances in processor performances, ...
Computer vision and computational photography are hot applications areas for mobile and embedded com...