AbstractThe rapid grows in the image processing systems complexity, and the complicated nature of its new technologies system design, had created the need for a high speed embedded processing units at low costs. This paper proposes a new implementation method of low cost parallel processing system for image processing applications. The proposed method is implied two stages. The first stage focused in the implementation of the hardware of parallel processors, where two ARM technology processors are used for its considerably low cost, and as standard technology for processors. This stage also concerned about the overall system firmware requirements and system integrations. The second part of the work is to design the tasks parallelism between...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
We describe a general purpose environment for the development of parallel image processing/computer ...
This paper presents an overview of low level parallel image processing algorithms and their implemen...
AbstractThe rapid grows in the image processing systems complexity, and the complicated nature of it...
In order to achieve application dependent "real-time" performance, it is necessary with the technolo...
International audienceIn this paper we present a hardware/software platform for real-time i...
The paper introduces a software architecture to support a user from the image processing community i...
The aim of the project was to develop the digital processing capabilities of adaptive multiprocessor...
Subject of investigation: computing process of parallel image processing on multi-processor computin...
Abstract: In the era of information and multimedia, the real time IP (image processing) becomes most...
The design of a low-cost microprocessor-based real-time image acquisition and processing system is p...
Implementing a real-time image-processing algorithm on a serial processor is difficult to achieve b...
Image processing in industrial vision systems requires both real-time speed and robustness. Modern c...
From Introduction: The research concentrates primarily on a feasibility study involving the setting ...
Image processing applications are suitable candidates for parallelism and have at least in part moti...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
We describe a general purpose environment for the development of parallel image processing/computer ...
This paper presents an overview of low level parallel image processing algorithms and their implemen...
AbstractThe rapid grows in the image processing systems complexity, and the complicated nature of it...
In order to achieve application dependent "real-time" performance, it is necessary with the technolo...
International audienceIn this paper we present a hardware/software platform for real-time i...
The paper introduces a software architecture to support a user from the image processing community i...
The aim of the project was to develop the digital processing capabilities of adaptive multiprocessor...
Subject of investigation: computing process of parallel image processing on multi-processor computin...
Abstract: In the era of information and multimedia, the real time IP (image processing) becomes most...
The design of a low-cost microprocessor-based real-time image acquisition and processing system is p...
Implementing a real-time image-processing algorithm on a serial processor is difficult to achieve b...
Image processing in industrial vision systems requires both real-time speed and robustness. Modern c...
From Introduction: The research concentrates primarily on a feasibility study involving the setting ...
Image processing applications are suitable candidates for parallelism and have at least in part moti...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
We describe a general purpose environment for the development of parallel image processing/computer ...
This paper presents an overview of low level parallel image processing algorithms and their implemen...