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Algorithm: Dr. Dmitriy Vatolin,
Michail Burkhinov, Konstantin Strelnikov
Implementation: Michail Burkhinov

MSU Cartoonizer v 3.0:
Filled Segments Rendering Added
Edge rendering for Faces Improved
Performance Optimized
Preview button Added
MSU Cartoonizer v 2.0:
Colored and gray scale Pencil Drawing
Edge rendering for Painting Improved
Color saturation control Added
Job control Added
MSU Cartoonizer v 1.0:
First public release

The filter is designed for painting, drawing and animated cartoon rendering. MSU Cartoonizer filter has many parameters, which allows to obtain very interesting results. This is the first filter developed by Graphics & Media Lab referring to non-photorealistic rendering area.

More examples of MSU Cartoonizer usage can be seen in the gallery

Settings

filter settings

Following settings can be modified in "Painting" mode:

The following settings can be modified in "Filled Segments" mode:

The following settings can be modified in "Drawing" mode:

General Settings:

Process each N frame
Allows to control the amount of processed frames. Each N-th frame is processed, other frames are duplicated. This parameter is used to reduce realism of the processed video, and also to decrease shaking.

Features of the filter:

Examples of using filter in AviSynth:

LoadVirtualDubPlugin("MSU_Cartoonizer.vdf","MSU_Cartoonizer", 0)  
clip=AVISource("test.avi", false, "RGB24")
clip.ConvertToRGB32.MSU_Cartoonizer(0, ShowEdges, EdgeAmount, EdgeBrightness, EdgeThickness, EdgeAccuracy, 
UseFaceDetection, BrushSize, BrushWetness, ColorRandom, ColorSaturation, ProcessEachNframe)

• ShowEdges - sets visibility of the edges. ShowEdges can be  0 - invisible edges  and 1 - visible edges.
• EdgeAmount - integer between 0 and 10. Sets the amount of edges.
• EdgeBrightness - integer between 0 and 10. Sets the edge brightness. Default value is 5.
• EdgeThickness - integer between 1 and 4. Sets the edge thickness, 1 - thin edges and 4 - thick edges.
• EdgeAccuracy - integer between 1 and 4. Sets the stroke accuracy, 1 - maximum edge accuracy and 4 - minimum edge accuracy.
• UseFaceDetection - allows improved edge rendering for Faces. UseFaceDetection can be 0 -  do not use improved edge rendering for Faces,  1 - use improved edge rendering for Faces.
• BrushSize - integer between 1 and 10. Sets the size of a brush.
• BrushWetness - integer between 0 and 10. Sets the brush wetness.
• ColorRandom - integer between 0 and 10. Sets the color randomization.
• ColorSaturation - integer between 0 and 10. Sets the color saturation. Default value is 5.
• ProcessEachNframe - integer between 1 and 10. Sets the amount of processed frames.

Example of a script for Filled Segments:

LoadVirtualDubPlugin("MSU_Cartoonizer.vdf", "MSU_Cartoonizer", 0)
clip= AVISource("test.avi",false,"RGB24") 
clip.ConvertToRGB32.MSU_Cartoonizer(1, ShowEdges, EdgeAmount, EdgeBrightness, EdgeThickness, EdgeAccuracy, 
UseFaceDetection, SegmentAmount, ColorSaturation, ProcessEachNframe)

• ShowEdges - sets visibility of the edges. ShowEdges can be  0 - invisible edges  and 1 - visible edges.
• EdgeAmount - integer between 0 and 10. Sets the amount of edges.
• EdgeBrightness - integer between 0 and 10. Sets the edge brightness. Default value is 5.
• EdgeThickness - integer between 1 and 4. Sets the edge thickness, 1 - thin edges and 4 - thick edges.
• EdgeAccuracy - integer between 1 and 4. Sets the stroke accuracy, 1 - maximum edge accuracy and 4 - minimum edge accuracy.
• UseFaceDetection - sets improved edge rendering for Faces. UseFaceDetection can be 0 -  not use improved edge rendering for Faces,  1 - use improved edge rendering for Faces.
• SegmentAmount - integer between 1 and 10. Sets the amount of rendered segments.
• ColorSaturation - integer between 0 and 10. Sets the color saturation. Default value is 5.
• ProcessEachNframe - integer between 1 and 10. Sets the amount of processed frames.

Example of a script for Drawing:

LoadVirtualDubPlugin("MSU_Cartoonizer.vdf", "MSU_Cartoonizer", 0)
clip= AVISource("test.avi",false,"RGB24") 
clip.ConvertToRGB32.MSU_Cartoonizer(2, PencilType, EdgeAmount, EdgeBrightness, EdgeThickness, EdgeAccuracy, 
UseFaceDetection, ProcessEachNframe)

• PenciType - Sets the Pencil Type. PencilType can be 0 - Crayon (Colored)  and 1 - Pencil (Non-Colored).
• EdgeAmount - integer between 0 and 10. Sets the amount of edges.
• EdgeBrightness - integer between 0 and 10. Sets the edge brightness. Default value is 5.
• EdgeThickness - integer between 1 and 4. Sets the edge thickness, 1 - thin edges and 4 - thick edges.
• EdgeAccuracy - integer between 1 and 4. Sets the stroke accuracy, 1 - maximum edge accuracy and 4 - minimum edge accuracy.
• ProcessEachNframe - integer between 1 and 10. Sets the amount of processed frames.

Examples

Painting

"Girl and dog".

Filled Segments

"Jennifer Aniston".

Painting and Drawing

"Adriana Sklenarikova"

The image showing results of using MSU Cartoonizer for landscapes

"Landscape"

Animated Cartoon Rendering using MSU Cartoonizer

fragment from"The Lord of the Rings: The Fellowship of the Ring" movie

Pencil Drawing for the "Susi" movie

You can see other examples of MSU Cartoonizer usage in the gallery.

• MSU_Cartoonizer 3.0. Unpack this file into the "Plugins" folder of VirtualDub directory. File size 283 KB (in ZIP)
• Filter license
• MSU_Cartoonizer 2.0. File size 272 KB (in ZIP)
• MSU_Cartoonizer 1.0. File size 126 KB (in ZIP)

Other resources

Video resources:

Public MSU video filters Here are available VirtualDub and AviSynth filters. For a given type of digital video filtration we typically develop a family of different algorithms and implementations. Generally there are also versions optimized for PC and hardware implementations (ASIC/FPGA/DSP). These optimized versions can be licensed to companies. Please contact us for details via video(at)graphics.cs.msu_ru. MSU Cartoon Restore (New!) MSU Noise Estimation MSU Frame Rate Conversion MSU Image Restoration MSU Denoising (Top!) MSU Old Cinema MSU Deblocking (Top!) MSU Smart Brightness and Contrast (Top!) MSU Smart Sharpen (Top!) MSU Noise generation MSU Noise estimation MSU Motion Estimation Information MSU Subtitles removal (New!) MSU Logo removal (Top!) MSU Deflicker (Top!) MSU Field Shift Fixer AviSynth plug-in MSU StegoVideo MSU Cartoonizer (Top!) MSU SmartDeblocking (Top!) MSU Color Enhancement MSU Old Color Restoration MSU TV Commercial Detector (New!) MSU filters FAQ (Read me!) MSU filters statistics	MSU filters for companies We are working with Intel, Samsung, RealNetworks and other companies on adapting our filters other video processing algorithms for specific video streams, applications and hardware like TV-sets, graphics cards, etc. Some of such projects are non-exclusive. Also we have internal researches. Please let us know via video(at)graphics.cs.msu_ru if you are interested in acquiring a license for such filters or making a custom R&D project on video processing, compression, computer vision. 3D Displays Video Generation (New!) Automatic Objects Segmentation Semiautomatic Objects Segmentation New Frame Rate Conversion New Deinterlacer MSU-Samsung Deinterlacing Project Digital TV Signal Enhancement Old Film Recovery Tuner TV Restore Panorama Video2Photo SuperResolution SuperPrecision MSU-Samsung image and video resampling MSU-Samsung Frame Rate Conversion Motion Phase filter Deshaker (video stabilization) Film Grain/Degrain filter Deblurring filter Video Content Search
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Last updated: 25-March-2009

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Project updated by
Server Team and MSU Video Group

Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab