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DT‐CNNを用いた面積階調法における疑似輪郭・形状効果の評価方法について

Translated title of the contribution: Estimation of Shape Effect on Area Intensity Method with DT-CNN.
  • 戸上敦
  • , 宮田淳一
  • , Kenya JINNO
  • , 田中衛
  • , 信宮利昭
  • , 井上裕司

Research output: Contribution to journal › Misc

Abstract

In this article, we propose an area intensity method with Discrete Time Cellular Neural Network(DT-CNN). In order to get high quality output image, we apply the DT-CNN to area intensity method. It causes "Shape Effect" which loses image quality, we have a discussion how to take place, and how to do.
Translated title of the contributionEstimation of Shape Effect on Area Intensity Method with DT-CNN.
Original languageJapanese
Pages (from-to)391 - 398
Journal電子情報通信学会技術研究報告
Volume96
Issue number584(NC96 155-208)
StatePublished - 18 Mar 1997

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