A Novel Approach for Image Compression Based on Multi-level Image Thresholding using Discrete Wavelet Transform and Cricket Algorithm

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dc.authoridcanayaz, Murat/0000-0001-8120-5101
dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authoridCANAYAZ, Murat/0000-0001-8120-5101;
dc.authorwosidcanayaz, Murat/AGD-2513-2022
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosidCANAYAZ, Murat/AAH-2486-2019
dc.authorwosidKARCI, Ali/A-9604-2019
dc.contributor.authorCanayaz, Murat
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:56:20Z
dc.date.available2024-08-04T20:56:20Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractApplications of image compression is important in terms of time and resource management considering factors such as require more time to send according to the size of image over the network and large amount of space is high dimensional data for storing images. In this study, a new approach can be using at image compression process will be introduced. Firstly, image subjected to discrete wavelet transform for extracting feature. Then multi-level threshold values will be find with Shanon entropy in the obtained image. The maximum value of objective function will be obtained with the help of cricket algorithm at the threshold values finding step. This algorithm is a meta-heuristic algorithm that based on population. The threshold values that obtained through algorithm using to compressing the images will be provided. At the end of the study, the image compression ratio, the proposed approach running on a standard test image will be given.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage227en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage224en_US
dc.identifier.urihttps://hdl.handle.net/11616/102214
dc.identifier.wosWOS:000380500900035en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectimage compressionen_US
dc.subjectcricket algorithmen_US
dc.subjectdiscrete wavelet transformen_US
dc.subjectmulti-level entropyen_US
dc.titleA Novel Approach for Image Compression Based on Multi-level Image Thresholding using Discrete Wavelet Transform and Cricket Algorithmen_US
dc.typeConference Objecten_US

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