RUSSIAN

MSU Color Enhancement

MSU Graphics & Media Lab (Video Group)

Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/video_filters/color-enhancement.html

Project, ideas: Dr. Dmitriy Vatolin, Dmitriy Kulikov, Valentina Rudneva
Implementation: Valentina Rudneva

DOWNLOAD

New filter version!

Project now is in beta-testing stage

Filter is used for video quality improving:

  • HDR (High Dynamic Range) compression
  • Shadowed colors and details restoring
  • Light-struck colors and details restoring
  • Faded colors restoring

Settings

New version improvements:

  • Speed
  • Interface usability
  • Frame processing algorithm is switched to more efficient HDR frames rendering

Settings dialog allows to change:

  • Frame illumination only
  • Frame colors only
  • Frame illumination and colors simultaneously

Settings of the filter
Filter's interface

Correct illumination

Filter's interface - illumination enhancement
Filter's interface - illumination enhancement
  1. Source image has very bright and very dark region - Processing image has HDR frames. Control using makes contrast low.
  2. Brighten dark region - Allows to illuminate dark frame regions. Dark regions won't be processed if control value is equal to zero.
  3. Reduce bright region - Allows to restore light-struck frame regions. Light regions won't be processed if control value is equal to zero.

Correct colors

Filter's interface - color enhancement
Filter's interface - color enhancement
  1. Correct colors - Saturation setting control. If value is set in zero saturation won't be changed. Note: recommended in use with Auto Levels.
  2. Auto levels - Automatic levels correction. One reflects source frame illumination to all allowed illumination range.

Let's consider job of the filter on a test rollers.

Examples

Filter work examples on HDR frames

Frame from film
Source image 		After Filter
Image processed by MSU Color Enhancement
Frame from film
Source image 		After Filter
Image processed by MSU Color Enhancement
Frame from film
Source image 		After Filter
Image processed by MSU Color Enhancement

Filter work examples on faded frames

Frame from film
Source image 		After Filter
Image processed by MSU Color Enhancement 		After saturation
After saturation
Frame from film
Source image 		After Filter
Image processed by MSU Color Enhancement 		After saturation
After saturation
Frame from film
Source image 		After Filter
Image processed by MSU Color Enhancement 		After saturation
After saturation

Download

E-mail:
For common questions about filter's work please contact us
For commercial license of this filter (commercial usage is not free) please contact us сontact email

Other sources

Video resources:

3D and stereo video
Projects on 3D and stereo video processing and analysis
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation 		Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Ext. link: x264 parameters efficiency comparison
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. 		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.
Video codecs projects
Different research and development
projects on video codecs 		Other
Other information
Last updated: 12-May-2022

Server size: 8069 files, 1215Mb (Server statistics)

Project updated by
Server Team and MSU Video Group

Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab