Study Material for
Study Material for
Photoshop Filters
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 Blur Gaussian 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
THANKS
FOR
ATTENTION