Hybrid code description for developing fast and resource efficient image processing architectures

2016 ◽  
Author(s):  
Konrad Haublein ◽  
Marc Reichenbach ◽  
Oliver Reiche ◽  
M. Akif Ozkan ◽  
Dietmar Fey ◽  
...  
Keyword(s):  
Image Processing ◽  
Hybrid Code ◽  
Processing Architectures

scholarly journals Image Processing Architectures

2018 ◽  
pp. 68-74
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Image Quality ◽  
Comparative Study ◽  
Focal Plane ◽  
Detailed Review ◽  
Communication Problem ◽  
Fast Processing ◽  
Processing Architectures ◽  
The Comparative Study

One type of signal processing is Image processing in which the input used as an image and the output might also be an image or a set of features that are related to the image. Images are handled as a 2D signal using image processing methods. For the fast processing of images, several architectures are suitable for different responsibilities in the image processing practices are important. Various architectures have been used to resolve the high communication problem in image processing systems. In this paper, we will yield a detailed review about these image processing architectures that are commonly used for the purpose of getting higher image quality. Architectures discussed are FPGA, Focal plane SIMPil, SURE engine. At the end, we will also present the comparative study of MSIMD architecture that will facilitate to understand best one.

The impact of grain size on the efficiency of embedded SIMD image processing architectures

2004 ◽  
Vol 64 (11) ◽  
pp. 1318-1327 ◽  
Author(s):  
Antonio Gentile ◽  
Sam Sander ◽  
Linda Wills ◽  
Scott Wills
Keyword(s):  
Image Processing ◽  
Grain Size ◽  
Processing Architectures ◽  
The Impact

Focal-plane processing architectures for real-time hyperspectral image processing

2000 ◽  
Vol 39 (5) ◽  
pp. 835 ◽  
Author(s):  
Sek M. Chai ◽  
Antonio Gentile ◽  
Wilfredo E. Lugo-Beauchamp ◽  
Javier Fonseca ◽  
José L. Cruz-Rivera ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Focal Plane ◽  
Hyperspectral Image ◽  
Hyperspectral Image Processing ◽  
Processing Architectures ◽  
Focal Plane Processing

Study on Pipelined Parallel Processing Architectures for Imaging and Computer Vision

2021 ◽  
pp. 75-95
Author(s):  
P. Suresh
Keyword(s):  
Magnetic Resonance Imaging ◽  
Image Processing ◽  
Computer Vision ◽  
Magnetic Resonance ◽  
Geographical Information Systems ◽  
Daily Life ◽  
Industrial Applications ◽  
Geographical Information ◽  
Satellite Television ◽  
Processing Architectures

In digital image processing, the noise detection and removal are very important tasks, since they have wide applications in all fields. In recent years, the logic fabric and routing FPGAs architecture provides customers with a number of advantages. In this chapter, the performance is analysed with different FPGA processors in terms of slices, LUTs, and BRAM utilization is studied. The implemented hardware architecture with digital images plays an important role in all daily life applications, industrial applications such as image recognition, computer tomography, satellite television, space imaging, magnetic resonance imaging, etc., and also in areas of research and technology of geographical information systems and astronomy.

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