An adaptive perception-based image preprocessing method

V. Bruni, I. Selesnick, L. Tarchi, D. Vitulano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aim of this paper is to introduce an adaptive preprocessing procedure based on human perception in order to increase the performance of some standard image processing techniques. Specifically, image frequency content has been weighted by the corresponding value of the contrast sensitivity function, in agreement with the sensitiveness of human eye to the different image frequencies and contrasts. The 2D Rational dilation wavelet transform has been employed for representing image frequencies. In fact, it provides an adaptive and flexible multiresolution framework, enabling an easy and straightforward adaptation to the image frequency content. Preliminary experimental results show that the proposed preprocessing allows us to increase the performance of some standard image enhancement algorithms in terms of visual quality and often also in terms of PSNR.

Original languageEnglish (US)
Title of host publication2015 23rd European Signal Processing Conference, EUSIPCO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2331-2335
Number of pages5
ISBN (Electronic)9780992862633
DOIs
StatePublished - Dec 22 2015
Event23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France
Duration: Aug 31 2015Sep 4 2015

Publication series

Name2015 23rd European Signal Processing Conference, EUSIPCO 2015

Other

Other23rd European Signal Processing Conference, EUSIPCO 2015
CountryFrance
CityNice
Period8/31/159/4/15

Keywords

  • Constrast sensitivity function
  • Human Visual System
  • Image enhnacement
  • SSIM

ASJC Scopus subject areas

  • Media Technology
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Bruni, V., Selesnick, I., Tarchi, L., & Vitulano, D. (2015). An adaptive perception-based image preprocessing method. In 2015 23rd European Signal Processing Conference, EUSIPCO 2015 (pp. 2331-2335). [7362801] (2015 23rd European Signal Processing Conference, EUSIPCO 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EUSIPCO.2015.7362801