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המעבדה למערכות ספרתיות מהירות

Technion - Israel institute of technology department of Electrical Engineering. הטכניון - מכון טכנולוגי לישראל הפקולטה להנדסת חשמל. High speed digital systems laboratory. המעבדה למערכות ספרתיות מהירות. Denoising video in real time. 2007 - 2008 winter Poster.

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המעבדה למערכות ספרתיות מהירות

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  1. Technion - Israel institute of technology department of Electrical Engineering הטכניון - מכון טכנולוגי לישראלהפקולטה להנדסת חשמל High speed digital systems laboratory המעבדה למערכות ספרתיות מהירות Denoising video in real time 2007 - 2008 winter Poster Performed by: Cohen Ido,Volokitina Irina Instructor: Rivkin Ina , Technion Almog Asaf , Intel

  2. Image noise – definition and more • The term noise usually refers to the high frequency random perturbations. • corresponds to visible grain or particles present in the image. • Generally caused by the electronic noise in the input device sensor and circuitry (e.g. scanner, digital camera).

  3. The solution is DENOISING • Removing noise from data is often the first step in data analysis. • Denoising techniques should not only reduce the noise, but do so without blurring or changing the location of the edges.

  4. Bilateral Bilateral and diffusion filtering comparison Diffusion • Simple implementation. • Noniterative. • Local. • YUV. (CIE) • Complicating implementation. • Iterative. • Not local. • RGB. Conclusion: local and noniterative characterizations make us to choose in bilateral algorithm

  5. X X + Bilateral filter block Diagram GIDEL implemented configuration Controller HPF (3X3) M E M O R Y YCbCr LPF (3X3) YCbCr Image analysis & Fir select Synplify implemented

  6. Noise No Noise System block diagram Denoising unit (bilateral) Adaptive LPF MUX YCbCr RGB Fir select RGB RGB YCbCr YCbCr YCbCr RGB HPF configuration GiDELPROCWizard

  7. (a) – input domain; (b) – delay line block; (c) – RGB to YCbCr transform blocks – one for each line; (d) – delay sample blocks; (e) – min max block; (f) , (g) – synchronizing pipes; (h1) – LPF block; (h2) –HPF block; (k) – filter select domain; (l) – synchronizing domain; (m) – YCbCr to RGB block; (n) – output domain (p) – simplify tool button Implementation : System level top view

  8. Summary and conclusionsSummary • We have implemented denoising bilateral algorithm using GIDEL's hardware and High Level Design tools as SynplifyDSP and SynplifyPro. • The algorithm performs real-time adaptive filtering per pixel of video stream coming from the DVI input . • Project goals are fully achieved.  Conclusions • Not easy to implement on such data rates but - Can be done • Better results using HPF bypass -> Implemented HPF algorithm is not a best solution • Possible improvement : • other HPF algorithm or another filter selection algorithm (few threshold etc.)

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