Digital images enhancement with use of evolving neural networks

Yuri Tsoy, Vladimir Spitsyn

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

4 Цитирования (Scopus)

Выдержка

An approach to image enhancement through artificial neural network's (ANN) processing is proposed. The structure and weights of ANN are tuned with use of evolutionary concept. Each image is processed in pixel-by-pixel manner using pixels' local characteristics that are calculated approximately to increase the processing speed but preserving satisfactory calculations' error. The two-step procedure for image enhancement is proposed: (1) local level processing using ANN; (2) global level autoleveling algorithm. The results for the proposed two-step image enhancement procedure are presented and compared with that of some alternative approaches.

Язык оригиналаАнглийский
Название основной публикацииLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Страницы593-602
Число страниц10
Том4193 LNCS
СостояниеОпубликовано - 2006
Событие9th International Conference on Parallel Problem Solving from Nature, PPSN IX - Reykjavik, Исландия
Продолжительность: 9 сен 200613 сен 2006

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том4193 LNCS
ISSN (печатное издание)03029743
ISSN (электронное издание)16113349

Другое

Другое9th International Conference on Parallel Problem Solving from Nature, PPSN IX
СтранаИсландия
ГородReykjavik
Период9.9.0613.9.06

Отпечаток

Image Enhancement
Image enhancement
Digital Image
Artificial Neural Network
Pixel
Pixels
Neural Networks
Neural networks
Processing
Weights and Measures
Alternatives

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Цитировать

Tsoy, Y., & Spitsyn, V. (2006). Digital images enhancement with use of evolving neural networks. В Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Том 4193 LNCS, стр. 593-602). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 4193 LNCS).

Digital images enhancement with use of evolving neural networks. / Tsoy, Yuri; Spitsyn, Vladimir.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Том 4193 LNCS 2006. стр. 593-602 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 4193 LNCS).

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Tsoy, Y & Spitsyn, V 2006, Digital images enhancement with use of evolving neural networks. в Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). том. 4193 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 4193 LNCS, стр. 593-602, 9th International Conference on Parallel Problem Solving from Nature, PPSN IX, Reykjavik, Исландия, 9.9.06.
Tsoy Y, Spitsyn V. Digital images enhancement with use of evolving neural networks. В Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Том 4193 LNCS. 2006. стр. 593-602. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Tsoy, Yuri ; Spitsyn, Vladimir. / Digital images enhancement with use of evolving neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Том 4193 LNCS 2006. стр. 593-602 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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