Subjective Assessment of Post-Processing Methods for Low Light Consumer Photos

Linlin Bie, Xu Wang, Jari Korhonen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)

Abstract

Consumer photos taken in low light conditions often suffer from substantial undesired capture artifacts, such as shakiness and sensor noise. In this paper, we use rank ordering method to assess the subjective preferences among different post-processing methods used to alleviate capture artifacts. The results show that most users prefer sharpened photos, even in the presence of substantial sensor noise. However, there are also systematic differences in individual preferences between users. Therefore, user preferences need to be considered in addition to the image characteristics, when selecting the post-processing algorithms and parameters for photo quality enhancement.

Original languageEnglish
Title of host publication2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)
PublisherIEEE Explore
Pages180-182
Number of pages3
DOIs
Publication statusPublished - 2018
Event10th International Conference on Quality of Multimedia Experience (QoMEX) - Sardinia, Italy
Duration: 29 May 20181 Jun 2018

Conference

Conference10th International Conference on Quality of Multimedia Experience (QoMEX)
Country/TerritoryItaly
CitySardinia
Period29/05/181/06/18

Keywords

  • image quality
  • capture artifacts
  • subjective quality assessment
  • rank ordering

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