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DICTIONARY-TYPE IMAGE SUPER-RESOLUTION SYSTEM AND METHOD BASED ON ITERATION PROJECTION RECONSTRUCTION

机译:基于迭代投影重构的字典型图像超分辨率系统和方法

摘要

The present invention provides a dictionary-type image super-resolution system and method based on iteration projection reconstruction. The system comprises: a dictionary training and projection matrix pre-calculation module, a projection matrix-based iteration projection super-resolution reconstruction module, and a global restriction-based post-processing module. The method comprises: step S1, learning a dictionary, and calculating a projection matrix; step S2, projection matrix-based iteration projection super-resolution reconstruction: inputting y for a low-resolution image block, searching the dictionary for an atom most similar to y, performing super-resolution reconstruction on y by using a projection matrix of the atom, performing projection reconstruction on a generated residual vector again to obtain high-resolution reconstruction of the residual vector, performing iteration reconstruction in such a way, and finally, performing weighted addition on all reconstruction components, the sum serving as a final reconstruction resu and step S3, globally restricting a reconstructed image to eliminate an unnatural effect. The present invention can effectively increase the calculation speed of a dictionary-type method and can recover image high-frequency detail information.
机译:本发明提供了一种基于迭代投影重构的字典型图像超分辨率系统和方法。该系统包括:字典训练和投影矩阵预计算模块,基于投影矩阵的迭代投影超分辨率重建模块以及基于全局限制的后处理模块。该方法包括:步骤S1,学习词典,计算投影矩阵;步骤S2,基于投影矩阵的迭代投影超分辨率重建:输入 y 以获取低分辨率图像块,在字典中搜索与 y 最相似的原子,执行通过使用原子的投影矩阵对 y 进行超分辨率重建,再次对生成的残差矢量执行投影重建,以获得残差矢量的高分辨率重建,并以此方式进行迭代重建,最后,对所有重构分量进行加权加和,将其作为最终重构结果。步骤S3,全局限制重构图像以消除不自然的效果。本发明可以有效地提高字典型方法的计算速度,并且可以恢复图像高频细节信息。

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