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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