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Imaging Scientist) [* |$ F. P( o b6 C
公 司:A design company
1 f7 o% j3 [& n R$ m7 ~2 D工作地点:上海+ f2 K' r; G7 t4 w, m1 g* {$ P
! W4 o. v* C- M- E; TResponsibilities: $ r" Y+ _9 z4 i# x1 A
The imaging scientist will be responsible for developing architectures, algorithms, and implementation details for new advanced pixels. 9 f1 }* |; W( J& v6 H6 A
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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. / X$ u0 J1 j2 \- b/ `0 u
2. Work with an ASIC, CMOS process technology, advanced pixel design teams for optimal implementation.
- L9 n4 Z8 o- O5 o3. Design in machine vision such as statistical pattern classification, neural networking, scene analysis, facial recognition algorithms
9 w2 _2 t) Y5 H$ U/ P, @4. Perform system modeling of camera pipeline components, including imagers and digital image processing modules.
) w8 W# y; _& H" L9 j5. Perform signal analysis to evaluate quality of image processing algorithms and systems; Perform analysis and characterization of imaging sensors. 8 i" m- ^& j+ g5 j% n0 p! v
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Requirements:
. y/ Y9 P8 X# E- o1. Ph.D. in Imaging Science, Electrical Engineering, Computer Vision, or related fields , v, P, n: n* T+ ]+ ]1 ]8 n
2. In-depth knowledge of camera image processing pipeline - {9 u6 P( d( `8 j1 Y' ?% N' z- F
3. Proficiency in C, C++ and / or Matlab coding to design and run simulations for complex image pipeline ^. ?+ d6 a: ` H7 {2 L" b0 h
4. Background in image processing in related industries, such as digital still camera or surveillance camera is a plus
9 V8 ]1 C0 O% c8 ^8 f5. Knowledge of hardware realization of the algorithms is a big plus 3 E# }3 y3 e7 Y( \ r; y
6. Team player with good communication and presentation skills. $ Q2 t) \3 N; i' `; I
7. Well organized, methodical, and detail oriented. |
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