Heart rate measurement and blur image quality metric via image processing: An overview

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


The research area of image processing and its applications has significantly increased in the last decades. They can be found in medical imaging, military, surveillance, astronomy, sports, and many more. In this paper, we show two applications of image processing; heart rate measurement and a no-reference blur image quality metric. The heart rate measurement is obtained from video sequences. However, the heart rate measurement consists of artifacts and noises. Therefore, a novel method using the Canonical Component Analysis (CCA) is introduced to eliminate the artifacts and noises using two five-second video frames where one video is delayed by one second. In a no-reference blur image quality metric, we show that some exact Zernike moments (EZMs) closely exhibit the human visual system in assessing the quality of images distorted by various degrees of Gaussian blur. These EZMs are then combined through a formulation and trained using a support vector machine to give the quality scores for images from the widely used public databases.
Original languageEnglish
Title of host publicationFirst International Conference on Computational Science and Data Analytics (COMDATA 2021)
EditorsK. Ratnavelu
Place of PublicationKuala Lumpur
PublisherAIP Publishing
Number of pages9
Publication statusPublished - 28 Jun 2023
Externally publishedYes
EventInternational Conference on Computational Science and Data Analytics 2021 - Kuala Lumpur, Malaysia
Duration: 21 Nov 202124 Nov 2021
Conference number: 1st
https://pubs.aip.org/aip/acp/issue/2756/1 (Proceedings)
https://web.archive.org/web/20211226023235/https://www.comdata.my/ (Website)


ConferenceInternational Conference on Computational Science and Data Analytics 2021
Abbreviated titleCOMDATA 2021
CityKuala Lumpur
Internet address


  • Image processing
  • Support vector machine
  • Astronomy
  • Medical imaging
  • Heart rate
  • Visual system

Cite this