transformer图像去噪

Transformer图像去噪是一种使用Transformer block构建Encoder-Decoder Net的方法。这种方法使用了医学图像去噪的技术，通过将输入图像传递给Encoder来提取特征，然后通过Decoder将特征解码为去噪后的图像。在这个过程中，还会使用一个名为"输出投影"的卷积层，将特征图投影为灰度图像。这样，Transformer图像去噪可以有效地去除图像中的噪声，并提高图像的质量。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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