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Grain-Degrain Project

MSU Graphics & Media Lab (Video Group)

Project: Dr. Dmitriy Vatolin
Implementation, ideas: Konstantin Strelnikov
Maxim Makhinya

We developed new methods of removing and applying of the film grain (specific type of noise that is usually present in materials that were captured from film). Our methods allow extraction of film grain information from video and using it for applying of the grain that is very similar to original.
Some examples and explanation you can find below.


Results


Here are three examples of film grain from real video, it could be easily seen that film grain has another structure than digital noise. In most cases film grain makes video more natural and also masks some small artifacts:

Original frame from DA sequence
Frame from DA sequence (720x353 94KB)


Original frame from MI sequence
Frame from MI sequence (640x272 70KB)


Original frame from DTs sequence
Frame from DTs sequence (1920x1088 640KB)


Scaled part of frame from DA
Scaled part of frame from DA
Scaled part of frame from MI
Scaled part of frame from MI
Scaled part of frame from DTs
Scaled part of frame from DTs


We have developed several methods for film grain removal including temporal and spatial noise filtration; you can find few examples below:

Source fragment from DA
Source fragment from DA
Grain removal results
Grain removal results

Source fragment from MI
Source fragment from MI
Grain removal results
Grain removal results

Source fragment from DTs
Source fragment from DTs
Grain removal results
Grain removal results


We are proposing two types of grain parameters estimation:

And three types of grain generation: An example of visual comparison for grain generation you can find below:

Source fragment from DA
Source fragment from DA
Regraining results
Regraining results

Source fragment from MI
Source fragment from MI
Grain removal results
Regraining results


We have obtained these results by original video de-graining, determining grain parameters and applying grain to the de-grained video. Structures of grain in the regrained frames look very similar to the original sources.

The following example shows how regraining technique helps to increase quality and makes compression artifacts significantly less noticeable:

Source fragment from DA
Source fragment from DA
Grain removal results
Regraining results


These methods provides possibility to add grain to any other video, making it more natural (for example adding grain to synthetic video). This also makes compressed video look better especially in case when original grain was corrupted by lossy video encoder.


Download


Please contact us if you are interested in a commercial license.

E-mail:  


Other resources


Video resources:

Call for MPEG4-AVC/H.264 codecs 2012

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/YUVsoft 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.
Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Call for MPEG4-AVC/H.264 codecs 2012
Ext. link: x264 parameters efficiency comparison
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation
Video codecs projects
Different research and development
projects on video codecs
Other
Other information

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Last updated: 10-March-2011

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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

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