Mykola M. Ponomarenko (Nikolay N. Ponomarenko in russian)

Stand with Ukraine! Stop Russia! #ATACMSforUkraine #F16forUkraine

Professional biography sketch

Research interests

• Image analysis (quality assessment, similarity measures, inforamtivity measures, human visual system, noise parameters estimation, target detection)
• Image and video compression (DCT based compression, fractal based compression, using partition schemes, multichannel image compression, noisy image compression)
  
• Image and video denoising (nonlinear robust denoising, local adaptive filters, DCT based denoising, multichannel image denoising, automatic synthesis of filters for a given quality criterion)
  
• Methods of data compression
  
• The game theory
  
• Artificial intelligence
  
• Methods of education
  

Publications

Downloads and links

• HTID - image database for evaluation of no-reference image visual quality assessment metrics (last changed: 2021-06-23)
  
• TID2013 - image database for evaluation of full-reference image visual quality assessment metrics (last changed: 2014-03-23)
  
• TID2008 - old version of TID2013. (last changed: 2010-02-22)
  
• Self-similarity full-reference metric of image visual quality (last changed: 2011-02-05)
  
• ADCT page - our the best (in ratio-distortion sence) image coder (last changed: 2018-12-15)
  
• AGU and AGU-MHV page - High Quality DCT based image coder (last changed: 2008-05-02)
  
• PSNR-HVS-M page - a new quality assessment metric (last changed: 2009-08-15)
  
• PSNR-HMA page - a modification of PSNR-HVS-M for color images and for taking into account mean shift and contrast change (last changed: 2011-08-27)
  
• Test set of 512x512 greyscale images (Baboon, Barbara, Goldhill, Lenna, Patterns, Peppers)
  
• Test texts with large alphabets for our paper in IEEE PICST2014
  
• FLT Database (verification of full-reference metrics for image denoising) and DSI metric
  
• IEDD (method of blind estimation of noise variance) and TAMPERE17 (noise-free test image database)
  
• Metrics SSIM4, CSSIM and CSSIM4 (more effective modifications of full-reference SSIM metric)
  
• Pretrained network models and demo codes for EUVIP's 2021 paper "Blind estimation and supression of additive spatially correlated Gaussian noise in images"
  
• Pretrained network models and demo codes for EI 2023 paper "Blind denoising of dental X-Ray images"
  

• Tampere University
  
• Computational Imaging Group in Tampere University
  

Hobbies

• Family
  
• Education
  
• Computer games development
  
• Science fiction (reading, writing)
  
• Renju (I was the champion of Ukraine in this logical game)
  
• Turn based strategy games
  
• Algorithms collecting
  
• Programming languages I know (30 years of everyday practice): Delphi/Pascal (main and favorite), C/C++, Assemblers (several ones), Matlab, PHP, Python, Perl, HTML/CSS, Java script (with JQuery), Java, Java for Android, Flash Macromedia (Action Script), ENVI (RSI), DOS/Windows bat-files, Prolog, Lisp, Ada, Modula 2, Fortran, Basic.
  
  

Address and contact information

• E-mails: mykola.ponomarenko{}tuni.fi, nikolay{}ponomarenko.info
  
• Homepage: http://ponomarenko.info
  
• Mobile phone +38 050 6416117 (Ukraine)
  
• Mobile phone +38 546 6234551 (Finland)
  
• Skype: nikpon
  
• Facebook: https://www.facebook.com/mykola.ponomarenko.71
  
• Twitter: https://twitter.com/NNPonomarenko
  
• Linkedin: https://www.linkedin.com/in/mykola-ponomarenko-821b2569