Отрывок: j f m n f m n f m n N s i j f m n f m n f m n N               Hold Arithm Hold Square (18)         ( , ) ( , ) ( , ) ( , ) ( , ) ( , ) 2 1/2 ( , ) ( , ) ( , ) 3 3 3 ( , ) ( , ) ( , ) 1/3 ( , 1 ˆ3) ( , ) ( , ) ( , ) ( , ) , 1 ˆ4) ( , ) ( , ) ( , ) ( , ), ˆ5) ( , ) i j i j i j i j i j i j N m n M m n M m n M N m n M m n M m n M m n s i j f m n f m n f m n N s i j f m n f m n f m n N s i j                        Hold Root Hold Triple Hold     ...
Полная запись метаданных
Поле DC Значение Язык
dc.contributor.authorLabunets, V.-
dc.contributor.authorOsthaimer, E.-
dc.date.accessioned2017-05-19 10:57:49-
dc.date.available2017-05-19 10:57:49-
dc.date.issued2017-
dc.identifierDspace\SGAU\20170516\63789ru
dc.identifier.citationLabunets V. Systematic approach to nonlinear filtering associated with aggregation operators. Part 1. SISO-filters / V. Labunets, E. Ostheimer // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С. 801-810.ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Systematic-approach-to-nonlinear-filtering-associated-with-aggregation-operators-Part-1-SISOfilters-63789-
dc.description.abstractThere are various methods to help restore an image from noisy distortions. Each technique has its advantages and disadvantages. Selecting the appropriate method plays a major role in getting the desired image. Noise removal or noise reduction can be done on an image by linear or nonlinear filtering. The more popular linear technique is based on average (on mean) linear operators. Denoising via linear filters normally does not perform satisfactorily since both noise and edges contain high frequencies. Therefore, any practical denoising model has to be nonlinear. In this work, we introduce and analyze a new class of nonlinear SISO-filters that have their roots in aggregation operator theory. We show that a large body of non-linear filters proposed to date constitute a proper subset of aggregation filters.ru
dc.description.sponsorshipThis work was supported by grants the RFBR No. 17-07-00886 and by Ural State Forest Engineering’s Center of Excellence in ”Quantum and Classical Information Technologies for Remote Sensing Systems”.ru
dc.language.isoenru
dc.publisherНовая техникаru
dc.subjectnonlinear filteringru
dc.subjectmulticolor imagesru
dc.subjectaggregation operatorsru
dc.subjectnonlinear SISO-filtersru
dc.titleSystematic approach to nonlinear filtering associated with aggregation operators. Part 1. SISO-filtersru
dc.typeArticleru
dc.textpartj f m n f m n f m n N s i j f m n f m n f m n N               Hold Arithm Hold Square (18)         ( , ) ( , ) ( , ) ( , ) ( , ) ( , ) 2 1/2 ( , ) ( , ) ( , ) 3 3 3 ( , ) ( , ) ( , ) 1/3 ( , 1 ˆ3) ( , ) ( , ) ( , ) ( , ) , 1 ˆ4) ( , ) ( , ) ( , ) ( , ), ˆ5) ( , ) i j i j i j i j i j i j N m n M m n M m n M N m n M m n M m n M m n s i j f m n f m n f m n N s i j f m n f m n f m n N s i j                        Hold Root Hold Triple Hold     ...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

Файлы этого ресурса:
Файл Описание Размер Формат  
paper 145_801-810.pdfОсновная статья1.16 MBAdobe PDFПросмотреть/Открыть
Показать базовое описание ресурса Просмотр статистики
Поделиться:



Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.