Potential function NN algorithm for image decomposition and compression

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dc.contributor.authorGueorguieva, N
dc.contributor.authorGueorguiev, G
dc.contributor.authorTchimev, P
dc.contributor.authorValova, I
dc.date.accessioned2026-02-06T18:16:42Z
dc.date.issued1998
dc.departmentDoğu Akdeniz Üniversitesi
dc.description13th International Symposium on Computer and Information Sciences (ISCIS 98) -- OCT 26-28, 1998 -- BELEK ANTALYA, TURKEY
dc.description.abstractThis paper presents a neural network (NN) algorithm for image decomposition and compression based on potential functions. Our idea is to approximate the image block with orthogonal functions and respective potential functions whose coefficients will be weights in neural networks. The process is iterative and is implemented on the so-called Answer-in-Weights NN. We applied the compression method to various gray scale images and show its efficiency in comparison with JPEG. We conclude with a summary of future challenges and research directions.
dc.identifier.endpage205
dc.identifier.isbn90-5199-405-2
dc.identifier.issn1383-7575
dc.identifier.scopusqualityN/A
dc.identifier.startpage198
dc.identifier.urihttps://hdl.handle.net/11129/8622
dc.identifier.volume53
dc.identifier.wosWOS:000078740500026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherI O S Press
dc.relation.ispartofAdvances in Computer and Information Sciences '98
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectWavelet
dc.titlePotential function NN algorithm for image decomposition and compression
dc.typeConference Object

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