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 eLearnin
Trang 1Study Material for Photoshop Filters
Final Year Project Jing Luo
Trang 2• 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
Trang 3What’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
Trang 4What’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
Trang 5Example
Trang 6Typical Filters 1
• Blur Filters:
- Gaussian Blur
-Radial Blur
-Smart Blur
-Motion Blur
-Lens Blur
• Noise Filters:
- Add Noise -Dust & Scratches -Median
Trang 7Typical Filters 2
• Sharpen Filters:
-Sharpen, Sharpen
Edges, Sharpen More
-Unsharp Mask
• Special Effects: -Distort Filters
-Liquify
Trang 8Blur Filters with Matlab
• Blurring images
with Lowpass
Spatial Filters
Trang 9Noise Filters with Matlab
• Reducing image noise with Median Filters.
Trang 10Sharpen Filters with Matlab
• Unsharp Masking
Trang 11Speical Effects Filters with
Matlab
• Glass Ripple
Trang 12Speical Effects Filters with
Matlab
• Pond Ripple
Trang 13Speical Effects Filters with
Matlab
• Fisheye
Trang 14Speical Effects Filters with
Matlab
• Twirl
Trang 15Java eLearning Application 1
• Application Modularization
– Object intializing
– Resources loading
– Navigation flow defining
– Views preparing
– Current view validating and realizing
Trang 16Java eLearning Application 2
DEMO
Trang 17
THANKS
FOR ATTENTION