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深度demosicking卷积神经网络和基于量子波纹转换的图像无声化.

Anitha Mary Chinnaiyan1, Boyed Wesley Alfred Sylam2

  • 1Research Scholar, Department of Computer Science, Nesamony Memorial Christian College, Marthandam Manonmaniam Sundaranar University, Tirunelveli, India.

Network (Bristol, England)
|July 11, 2024
PubMed
概括

这项研究引入了一种新的深度学习模型,用于同时进行图像毁和demosaicking. 拟议的量子波纹转换 (QWT) 与一个Demosaicking卷积神经网络 (DMCNN) 结合,有效地恢复单色传感器的全彩图像.

关键词:
图像demoosaicking 这种情况.深度学习是一种深度学习.图像去色化 图像去色化量子波形变换的量子波形变换.

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Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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