对图像频谱进行傅里叶逆变换

对图像频谱进行傅里叶逆变换可以实现图像的还原。首先，使用傅里叶变换将图像转换为频域表示，得到图像的频谱。然后，对频谱进行逆变换，即傅里叶逆变换，可以将频域图像转换回原始的空域图像。这样就可以实现对图像频谱的傅里叶逆变换。在OpenCV库中，也提供了函数来实现图像的傅里叶逆变换，可以方便地进行操作。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *2* *3* [《OpenCv视觉之眼》Python图像处理六 :Opencv图像傅里叶变换和傅里叶逆变换原理及实现](https://blog.csdn.net/qq_42451251/article/details/107832069)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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