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... 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 . Study Material for Study Material for Photoshop Filters Photoshop Filters Final Year Project Final Year Project Jing Luo Jing. 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. 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,