1. Study Material for Photoshop Filters Final Year Project Final Year Project Jing Luo Jing Luo

2. Objective A summary of four years’ graphic experience Upgrade from a practice-based level to a solid theoritical one A proposal from Mr. Erkki Rämö to be a learning material

3. What’s inside Basic theories of image processing Four main filters groups: Blur, Noise, Sharpen, Special Effects Special filters theories and performs them in Matlab Java eLearning Application

4. What’s special Visual highlight instead of step-by-step guide Filter-cross as well as filter-self comparison Theoretical upgrade based on practical represent Java eLearning application as a good supplement and enhancement

5. Example Original image Lens BlurGaussian Blur

6. Typical Filters 1 Blur Filters: - Gaussian Blur -Radial Blur -Smart Blur -Motion Blur -Lens Blur Noise Filters: - Add Noise -Dust & Scratches -Median

7. Typical Filters 2 Sharpen Filters: -Sharpen, Sharpen Edges, Sharpen More -Unsharp Mask Special Effects: -Distort Filters -Liquify

8. Blur Filters with Matlab Blurring images with Lowpass Spatial Filters

9. Noise Filters with Matlab Reducing image noise with Median Filters.

10. Sharpen Filters with Matlab Unsharp Masking

11. Speical Effects Filters with Matlab Glass Ripple

12. Speical Effects Filters with Matlab Pond Ripple

13. Speical Effects Filters with Matlab Fisheye

14. Speical Effects Filters with Matlab Twirl

15. Java eLearning Application 1 Application Modularization –Object intializing –Resources loading –Navigation flow defining –Views preparing –Current view validating and realizing

16. Java eLearning Application 2 DEMO...

17. THANKS FOR ATTENTION