Image Compression by New Sub-Image Block Classification Techniques Using Neural Networks

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概要

• 論文の詳細を見る

• A new method of classification of sub-image blocks for digital image compression purposes using neural network is proposed. Two different classification algorithms are used to show their greater effectiveness than the conventional classification techniques. Simulation results are presented which demonstrate the effectiveness of the new technique.

• 社団法人電子情報通信学会の論文
• 2000-10-25

著者

• Rahim N

  Chiba Univ. Chiba‐shi Jpn

• YAHAGI Takashi

  The authors are with the Graduate School of Science and Technology, Chiba University

• RAHIM Newaz

  The authors are with the Graduate School of Science and Technology, Chiba University

• Yahagi Takashi

  The Authors Are With The Graduate School Of Science And Technology Chiba University

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• A New Transformed Input-Domain ANFIS for Highly Nonlinear System Modeling and Prediction
• Image Compression by New Sub-Image Block Classification Techniques Using Neural Networks

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