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樓主: masonchung
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你感到有興趣的演算法領域為何?

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發表於 2014-12-11 11:27:02 | 只看該作者
Algorithm Development Engineer2 @4 M: K6 w, t  T2 U
公      司:A design company
; W4 L, p1 d+ q8 ?工作地点:上海) F* Q+ |% N, n, u2 x# }
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Responsibilities:  ' J4 L2 C. Q0 D* h+ ?
1. Research and develop still/motion image processing algorithms relating to auto exposure control, bad pixel correction, color interpolation, white balance, noise reduction, image enhancement, and/or pattern recognition
+ U8 l" b: r% g# s; c# g7 V2. Perform system modeling of camera pipeline components, including imagers and digital image processing modules.
8 I$ J, G+ p/ g- c3. Perform signal analysis to evaluate quality of image processing algorithms and systems. Perform analysis and characterization of imaging sensors.
7 w  H) b- y! q( L1 _4. Algorithm optimization in Mathematics or Hardware.  4 w9 f0 `* U$ _
5. Work with hardware engineers to conduct hardware implementation solutions to embed the algorithms into chips;Help hardware engineers to check bugs and verify the implementation.
: ~8 V# u" ~3 |4 _, X6. Define product tuning tools and documentation for customers, as well as training for applications team
5 j, u8 W, {+ m; `5 b& N* U0 Y. d0 [% T! f1 }6 g# f/ X! _
Requirements:  
! l6 K. b6 d7 H1. Master''s degree in EE/CS/Optical Engineering or other related field0-3 years of experience  
* |7 e3 _' N+ p0 w2 ~. c) o2. Experience in image processing algorithms with background in advanced filtering, color reproduction, automated threshold selection, pattern recognition, statistical analysis, etc. 4 D' d1 l5 S8 j+ o5 ~+ ]
3. Proficiency in C, C++ and / or Matlab coding to design and run simulations for complex image pipeline  
; ?+ G7 R5 A* ?( S4. Background in image processing in related industries, such as digital still camera or surveillance camera is a plus 0 _3 u+ U+ i+ G/ h& A* h$ a) x6 i- E
5. Knowledge of hardware realization of the algorithms is a big plus  ! f: ?7 D! k2 ~7 O
6. Team player with good communication and presentation skills.  
- _& n0 p& O; ~) y7. Well organized, methodical, and detail oriented.
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