像素2像素:为零拍摄单个图像剥离提供一个像素式方法
概括
Pixel2Pixel是一个新的零拍摄图像拒绝框架,它使用非本地自我相似性从单个噪音图像创建训练数据. 这种方法可以实现高质量的无噪声,而不需要清洁图像或噪声分布先验.
科学领域:
- 计算机视觉 计算机视觉
- 机器学习 机器学习
- 图像处理 图像处理
背景情况:
- 图像无色化对于提高视觉质量至关重要.
- 传统方法通常需要特定的噪音模型或广泛的训练数据.
- 现有的深度学习方法通常依赖于清洁和杂的图像对的大数据集.
研究的目的:
- 为了引入一个名为Pixel2Pixel的新型零拍摄图像拒绝框架.
- 为了实现高质量的图像无噪声,只使用输入的噪声图像.
- 为了克服传统的无线化方法中数据依赖性的局限性.
主要方法:
- 在噪音图像中利用非局部自我相似性来生成训练样本.
- 用来自非本地区域的类似像素构建一个像素银行张量.
- 采用像素智能的随机采样来创建众多用于训练的伪实例.
- 使用一个紧的卷积神经网络架构.
主要成果:
- 像素2像素成功地从单个杂的图像中生成了大量的训练样本.
- 该框架有效地消除了各种噪音类型和噪音水平的图像.
- 在广泛的实验中,与现有的图像消光方法相比,表现出更高的性能.
- 展示了强大的概括能力,特别是在现实世界中杂的场景.
结论:
- Pixel2Pixel 提供了一种有效的零拍摄方法来实现图像无色化.
- 该方法依赖于非局部自相似性,因此无需清洁训练数据或噪声先验.
- 像素2像素为各种现实世界的挑战提供了一个强大的和可通用的解决方案.
相关概念视频
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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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Upsampling
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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Sampling Continuous Time Signal
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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
In the...
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