scholarly journals A 10 000 fps CMOS Sensor With Massively Parallel Image Processing

2008 ◽  
Vol 43 (3) ◽  
pp. 706-717 ◽  
Author(s):  
JÉrÔme Dubois ◽  
Dominique Ginhac ◽  
Michel Paindavoine ◽  
BarthÉlÉmy Heyrman
Keyword(s):  
Image Processing ◽  
Massively Parallel ◽  
Parallel Image Processing ◽  
Parallel Image ◽  
Cmos Sensor

Parallel Image Processing Using Neural Networks: Applications in Contrast Enhancement of Medical Images

1998 ◽  
Vol 08 (01) ◽  
pp. 63-76 ◽  
Author(s):  
J. Mattes ◽  
D. Trystram ◽  
J. Demongeot
Keyword(s):  
Image Processing ◽  
Contrast Enhancement ◽  
Parallel Machine ◽  
Massively Parallel ◽  
Image Processing Algorithm ◽  
Parallel Image Processing ◽  
Parallel Image ◽  
Neural Network Algorithm ◽  
Medical Interest ◽  
Good Contrast

This paper describes the implementation of a parallel image processing algorithm, the aim of which is to give good contrast enhancement in real time, especially on the boundaries of an object of interest defined by a grey homogeneity (for example, an object of medical interest having a functional or morphologic homogeneity, like a bone or tumor). The implementation of a neural network algorithm which does this contrast enhancement has been done on a SIMD massively parallel machine (a MasPar of 8192 processors) and the communication between its processors has been optimized.

GPU processing for parallel image processing and real-time object recognition

2014 ◽  
Author(s):  
Kevin Vincent ◽  
Damien Nguyen ◽  
Brian Walker ◽  
Thomas Lu ◽  
Tien-Hsin Chao
Keyword(s):  
Image Processing ◽  
Object Recognition ◽  
Real Time ◽  
Parallel Image Processing ◽  
Parallel Image ◽  
Gpu Processing
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