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Study Material for Photoshop Filters. Final Year Project Jing Luo. Objective. A summary of four years’ graphic experience Upgrade from a practice-based level to a solid theoritical one
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Study Material for Photoshop Filters Final Year Project 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 Lens Blur Gaussian Blur Original image
Blur Filters: -Gaussian Blur -Radial Blur -Smart Blur -Motion Blur -Lens Blur Noise Filters: -Add Noise -Dust & Scratches -Median Typical Filters 1
Sharpen Filters: -Sharpen, Sharpen Edges, Sharpen More -Unsharp Mask Special Effects: -Distort Filters -Liquify Typical Filters 2
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
Glass Ripple Speical Effects Filters with Matlab
Pond Ripple Speical Effects Filters with Matlab
Fisheye Speical Effects Filters with Matlab
Twirl Speical Effects Filters with Matlab
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 ...
THANKS FOR ATTENTION