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Perception of Sound Waves

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The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...

Computed Tomography

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Updated: Apr 9, 2026

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Published on: November 21, 2016

騒音画像からコンセンサスベースの3Dビュー生成

José A Rodríguez-Rodríguez¹, Miguel A Molina-Cabello^2,3, Rafaela Benítez-Rochel^1,3

¹Department of Computer Languages and Computer Science, Universidad de Málaga, Spain.

International journal of neural systems

|August 22, 2025

まとめ

この要約は機械生成です。

NeXネットワークからのノイズは 3Dビューの合成品質を著しく低下させる. デノイ化された画像を用いた新しいコンセンサス戦略により,ピークシグナルノイズ比率 (PSNR) と構造類似度指数 (SSIM) が改善されます.

キーワード:

3Dビューの合成ディープラーニングコンセンサスデノイジング騒音について

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関連する実験動画

Last Updated: Apr 9, 2026

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

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Published on: November 21, 2016

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

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Published on: October 24, 2019

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科学分野:

コンピュータ・ビジョン
画像処理
深層学習

背景:

NeXのようなコンボリューションニューラルネットワーク (CNN) を使用したリアルタイム3Dビューの合成は,コンピュータビジョンにとって極めて重要です.
トレーニングデータ (写真) はノイズによって損なわれ,合成された3Dビューの品質に影響を及ぼします.

研究の目的:

NeXネットワークによって生成される3Dビューの合成品質に対するノイズの影響を調査する.
騒音インプットから3Dビューの質を高めるための新しいコンセンサスベースの戦略を導入し評価する.

主な方法:

NeXネットワークの性能に対するさまざまなノイズレベルとシーンの影響を調査した.
デノイズド画像で訓練された NeX ネットワークを含むコンセンサス戦略を開発しました.
ピークシグナルノイズ比率 (PSNR) と構造類似度指数 (SSIM) を用いて定量化した改善

主要な成果:

騒音は合成3Dビューの画像品質を著しく低下させる.
提案されたコンセンサス戦略は,1.300 dB (PSNR) と0.032 (SSIM) までの画質を効果的に改善します.
コンセンサス・フレームワーク内の騒々しい入力からの NeX で生成された画像を使用すると,パフォーマンスの向上が最も顕著でした.

結論:

騒音は3Dビューの合成品質に影響する重要な要因です.
デノイジングとコンセンサスのアプローチは,特に騒音環境では,合成された3Dビューの忠誠度を向上させるための堅固な方法を提供します.