Tag Archives: Matlab for imaging

Texture MTF

Based on Dead-leaves type of test targets*

All Matlab code covered by BSD License

Refined Measurement of Digital Image Texture Loss

Article: Refined Measurement of Digital Image Texture Loss

Matlab source code to compute the measure of texture loss based on images of dead-leaves type of test targets. The method includes correction for image noise and shading/non-uniformity, as described in,
P. D. Burns, Refined Measurement of Digital Image Texture Loss, Proc. SPIE vol. 8293, Image Quality and System Performance IX, 2013,86530H, 2013

The method was also used in the evaluation of JPEG2000 image  compression in,
P. D. Burns and D. Williams, Measurement of Texture Loss for JPEG 2000 Compression, Proc. SPIE vol. 8293, Image Quality and System Performance IX, 2012

Software: Matlab function texture_MTF.m and supporting functions available here

Video demo.

Video demo.

 

Video: Demonstrating the running of the function here.
Download the 8 MB file if it does not run in your browser.

Refinements: I am distributing this code primarily for those who are familiar to adapting Matlab for their own applications. Depending on interest expressed, I can include more flexible parameter selection, data checking and other refinements that I would normally include as part of a complete image-based tool. Also, please contact me if you are interested in an executable version of this method as part of a console-type programme. I have fun with this sort of thing too.
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*Spectral estimation for fun and profit

Imaging systems and services

Burns Digital Imaging LLC  was formed in 2011 by Peter Burns. We provide consulting services for imaging system development and improvement; performance evaluation, monitoring and software tools for imaging standards. Applications include imaging for cultural heritage, digital photography, and mobile systems.

PB in Prague

Prague

Peter D. Burns PhD:  image scientist and technical project leader with  experience in digital imaging; digital photography, mobile imaging, cultural heritage imaging, medical imaging, and imaging performance standards.  He also presents  university and industrial training courses on digital imaging performance evaluation and  standards.   >  Blog 

  • System analysis, simulation and image processing
  • Automated tools and methods (e.g. ISO, IEC standards)
  • Variability, color error propagation, and quality assurance
  • Using Matlab to solve imaging problems
  • Deploying software applications using Matlab Compiler
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Main subject detection

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For several years I have collaborated with Don Williams of Image Science Associates