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Imaging Scientist- `4 x+ n/ h/ M- K( C, s
公 司:A design company
3 D& t! g, a9 ? {: [4 Y" S# e' N工作地点:上海 f( ^& ^. z! K8 X
. i7 h; [# p, c7 F. i- gResponsibilities:
. L) }$ H/ G! F2 t- bThe imaging scientist will be responsible for developing architectures, algorithms, and implementation details for new advanced pixels. 6 \7 \2 z- T7 H. u
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1. Design and development of image processing algorithms such as demosaicing, denoising, edge-enhancement, bad pixel correction, high dynamic range imaging, adaptive tonal mapping, AE, AWB, AF, still/video image stabilization and other scene analysis based algorithms. 5 L. U+ T. o& m) W9 S. B$ Q0 s
2. Work with an ASIC, CMOS process technology, advanced pixel design teams for optimal implementation.
d! X0 i; s$ {/ y1 m/ d3. Design in machine vision such as statistical pattern classification, neural networking, scene analysis, facial recognition algorithms
9 \8 G$ m9 `/ P/ X4. Perform system modeling of camera pipeline components, including imagers and digital image processing modules. 4 M1 }- z7 M# r9 k0 ]/ z
5. Perform signal analysis to evaluate quality of image processing algorithms and systems; Perform analysis and characterization of imaging sensors.
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Requirements:
* f0 V; R8 z6 T q/ a- N! p1. Ph.D. in Imaging Science, Electrical Engineering, Computer Vision, or related fields & ~ N+ v/ T7 O5 X) U' {) C! S
2. In-depth knowledge of camera image processing pipeline * w. J, J7 Z+ U/ j6 z7 O9 g7 T+ b
3. Proficiency in C, C++ and / or Matlab coding to design and run simulations for complex image pipeline
6 k( Z3 U8 M0 v, R3 v7 T) i3 c4. Background in image processing in related industries, such as digital still camera or surveillance camera is a plus
4 M) k. P- p/ p. v' R3 u5. Knowledge of hardware realization of the algorithms is a big plus
2 y; |1 J9 H. R E/ i; S* o6. Team player with good communication and presentation skills.
% t% p% N6 A* a; \" ^7 d$ d7. Well organized, methodical, and detail oriented. |
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