Image compression based on periodic principal components

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Wilmar Hernandez
  • Alfredo Mendez
  • Pablo Alejandro Quezada-Sarmiento
  • Luis Alberto Jumbo-Flores
  • Paolo Mercorelli
  • Vera Tyrsa
  • Patricia Acosta-Vargas
  • Ivan Menes Camejo
  • Jose Rigoberto Muñoz Cagua
  • Willam Bladimir Cevallos Cevallos
In the present paper, the almost periodicity of the first principal components is studied, with the aim of being able to use less information in order to obtain acceptable reconstructions of compressed images. The results of this study show that by working with the periodic principal components of images under analysis, it is possible to obtain an additional reduction to that obtained by using the original principal components. Specifically, it is shown that if the principal components that are considered periodic are replaced by their period plus a trend, it can be said that the reconstruction achieved using these periodic principal components is very close to the reconstruction achieved using the original principal components.
Original languageEnglish
Title of host publicationIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
Number of pages8
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date01.10.2019
Pages5634-5641
Article number8926747
ISBN (print)978-1-7281-4879-3
ISBN (electronic)978-1-7281-4878-6
DOIs
Publication statusPublished - 01.10.2019
Event45th Annual Conference of the Institute of Electrical and Electronics Engineers' Industrial Electronics Society - 2019 - Lisbon Congress Center, Lisbon, Portugal
Duration: 14.10.201917.10.2019
Conference number: 45
https://iecon2019.org/

Bibliographical note

Funding Information:
This research has been supported by CEDIA-Ecuador (under the research project CEPRA XII-2018-13), Universidad de Las Americas, Quito, Ecuador (under the research project ERa.ERI.WHP.18.01), and Universidad Politecnica de Madrid, Spain.

Publisher Copyright:
© 2019 IEEE.

Recently viewed

Publications

  1. Using CNNs to Detect Graphical Representations of Structural Equation Models in IS Papers
  2. Exploring the limits of graph invariant- and spectrum-based discrimination of (sub)structures.
  3. Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives
  4. Linear free vibrations with uncertain initial conditions
  5. Appendix A: Design, implementation, and analysis of the iGOES project
  6. Digging into the roots
  7. Dividing Apples and Pears: Towards a Taxonomy for Agile Transformation
  8. Optimization of 3D laser scanning speed by use of combined variable step
  9. Gain Adaptation in Sliding Mode Control Using Model Predictive Control and Disturbance Compensation with Application to Actuators
  10. Overcoming Multi-legacy Application Challenges through Building Dynamic Capabilities for Low-Code Adoption
  11. Modelling biodegradability based on OECD 301D data for the design of mineralising ionic liquids
  12. Effectiveness of a Web-Based Cognitive Behavioural Intervention for Subthreshold Depression
  13. Switching between reading tasks leads to phase-transitions in reading times in L1 and L2 readers
  14. Challenge-oriented policy making and innovation systems theory: reconsidering systemic instruments
  15. Cross-case knowledge transfer in transformative research: enabling learning in and across sustainability-oriented labs through case reporting
  16. Towards Advanced Learning in Dispatching Rule-Based Scheuling
  17. Kit based motion generator for a soft walking robot