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一个高效和低复杂的基于变压器的深度学习框架,用于高动态范围的图像重建

Josue Lopez-Cabrejos1, Thuanne Paixão1, Ana Beatriz Alvarez1

  • 1PAVIC Laboratory, University of Acre (UFAC), Rio Branco 69915-900, Brazil.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括

本研究介绍了一种高效的基于变压器的方法,用于高动态范围 (HDR) 图像重建. 新架构实现了最先进的质量,同时大大降低了计算成本,为增强图像处理提供了实用解决方案.

关键词:
变压器 变压器 变压器道的注意力 道的注意力高动态范围的成像成像.图像重建 图像重建空间上的注意力

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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