Variable kernel based interpolation algorithm for the sectored image

Olivier Rukundo

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearchpeer-review

Abstract

A novel interpolation algorithm using a variable kernel of pixels elements has been proposed to improve the details visibility in the sectored image after scan conversion. The key idea is to vary kernel size with respect to the scan conversion input samples information collected locally in a given pre-defined radius. Preliminary experiments, using natural images, demonstrate that the overall performances of the proposed interpolation algorithm are superior to the performance of traditional algorithms, mentioned. Cardiac ultrasound data based experiments showed that the proposed algorithm sectored images had more visible details than sectored images obtained using traditional algorithms.
Original languageEnglish
Publication date2019
Publication statusPublished - 2019
EventSPIE Smart Structures+Nondestructive Evaluation: Health Monitoring of Structural and Biological Systems XIII - Embassy Suites by Hilton Denver, Denver, United States
Duration: 3 Mar 20197 Mar 2019
Conference number: 10972
https://spie.org/SS/conferencedetails/health-monitoring-structural-biological-systems

Conference

ConferenceSPIE Smart Structures+Nondestructive Evaluation
Number10972
LocationEmbassy Suites by Hilton Denver
Country/TerritoryUnited States
CityDenver
Period03/03/201907/03/2019
Internet address

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