HPI：高像素图像

“高像素图像”（High Pixel Image）在计算机领域常被缩写为“HPI”，以便在日常书写和文件处理时更加便捷高效。该缩写常见于图像文件的扩展名及技术文档中，用于指代分辨率高、画质清晰的图像类型，有助于提升专业交流与文件管理的效率。

Many dedicated image data encryption scheme to solve the large amount of data redundancy and high correlation between pixel intensity and other technical characteristics have been proposed, at the same time there have been many image encryption algorithm used to evaluate the performance parameters.
很多专用的图像加密方案为解决图像数据量大、冗余度高、像素间相关性强等技术特点而被提出，与此同时也出现了很多用来评价图像加密算法的性能参数。
When X-ICT detects large industrial parts and requires high resolving power, image reconstruction of X-ICT has huge pixel matrix and the amount of calculation increases greatly resulting in much more time of image reconstruction.
工业CT机检测对象为大型工业构件并且要求高分辨率时，图像重建的像素点阵巨大，计算量大大增加，从而图像重建时间过长。
In wavelet domain, different strategies are adopted for fusing high frequency coefficient according to whether it is a pixel of edge. Average-weighted mean is used for low frequency coefficient fusion and then the fusion image is reconstructed by wavelet inverse transform.
在小波域中，对高频信息依据其是否为边缘点采用不同的融合策略，对低频信息利用加权法进行融合，再进行小波逆变换重构融合图像。

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