様々なノイズ条件下での画像ステガノグラフィのためのハイブリッド整数ウェーブレット変換と単数値分解の分析
Manikandan Chinnusami1, Dyutisri Kolli2, S Shreela1
1School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.
Scientific reports
|August 27, 2025
まとめ
この研究は,整数波形変換と単数値分解を組み合わせた,安全な画像ステガノグラフィーの新しいハイブリッド方法を導入しています. この技術は,高い感知性とノイズに対する強度を提供し,安全な画像伝送を保証します.
科学分野:
- コンピュータ科学
- 情報セキュリティ
- デジタル画像処理
背景:
- ステガノグラフィは 安全なデータ伝送に不可欠です
- 既存の方法は,騒音に対する強度と,知覚不能性を維持するためにしばしば苦労します.
- 画像に情報を安全に埋め込むために 先進的な技術が必要です
研究 の 目的:
- 整数波形変換 (IWT) と単数値分解 (SVD) を用いたハイブリッドステガノグラフィの方法を開発する.
- カバー画像の中に隠された画像の感知性と強さを高めるために.
- 様々な条件下でステガノグラフィのパフォーマンスを評価するためのユーザーフレンドリーなプラットフォームを提供すること.
主な方法:
- 整数波形変換 (IWT) と単数値分解 (SVD) を組み合わせたハイブリッドアプローチ.
- インタラクティブなパフォーマンス評価のためのカスタムグラフィカルユーザーインターフェース (GUI) の開発.
- 様々な種類のノイズ (ガウス,スペックル,塩,ペッパー) に対するステゴ画像の耐性をテストする.
主要な成果:
- 平均正方形誤差 (MSE) が9.6698で高い感知性を達成した.
- ビットエラーレート (BER) 0.7205で堅実性を証明した.
- 高い構造類似度指数 (SSIM) と1に近い標準化交差度 (NCC) と,ピーク信号比 (PSNR) は29.5665 dBである.
結論:
- 提案されたハイブリッド・メソッドは,強度と感知性において現在の技術を上回ります.
- この技術は防衛や医療イメージングなどの重要なアプリケーションで 安全な画像伝送に適しています
- 開発されたプラットフォームは,再現可能なステガノグラフィック研究と将来の進歩を促進します.
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