Study Material for Photoshop Filters Final Year Project Final Year Project Jing Luo Jing Luo
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
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
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
Example Original image Lens BlurGaussian Blur
Typical Filters 1 Blur Filters: - Gaussian Blur -Radial Blur -Smart Blur -Motion Blur -Lens Blur Noise Filters: - Add Noise -Dust & Scratches -Median
Typical Filters 2 Sharpen Filters: -Sharpen, Sharpen Edges, Sharpen More -Unsharp Mask Special Effects: -Distort Filters -Liquify
Blur Filters with Matlab Blurring images with Lowpass Spatial Filters
Noise Filters with Matlab Reducing image noise with Median Filters.
Sharpen Filters with Matlab Unsharp Masking
Speical Effects Filters with Matlab Glass Ripple
Speical Effects Filters with Matlab Pond Ripple
Speical Effects Filters with Matlab Fisheye
Speical Effects Filters with Matlab Twirl
Java eLearning Application 1 Application Modularization –Object intializing –Resources loading –Navigation flow defining –Views preparing –Current view validating and realizing
Java eLearning Application 2 DEMO...
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