CN115735225A - 图像处理方法和图像处理装置 - Google Patents
图像处理方法和图像处理装置 Download PDFInfo
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- CN115735225A CN115735225A CN202180041397.7A CN202180041397A CN115735225A CN 115735225 A CN115735225 A CN 115735225A CN 202180041397 A CN202180041397 A CN 202180041397A CN 115735225 A CN115735225 A CN 115735225A
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- 238000012545 processing Methods 0.000 title claims abstract description 187
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
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Abstract
本申请提供一种图像处理方法和图像处理装置,涉及人工智能领域。该方法包括:获取输入图像;对输入图像进行分频,得到输入图像的多个频段分量,上述多个频段分量与超分神经网络中多个子网络一一对应;确定与多个频段分量中每个频段分量对应的子网络运算层数;利用超分神经网络对输入图像进行超分处理,得到与多个频段分量对应的多个超分处理结果;将上述多个超分处理结果合成为输出图像。该方案主要根据输入图像的多个频段的分量确定超分神经网络的每个子网络的运算层数,之后再利用超分神经网络输入图像进行处理,从而在保证了图像超分辨率处理的结果精度的同时,还减少了占用的运算资源,提高了处理效率。
Description
PCT国内申请,说明书已公开。
Claims (14)
- PCT国内申请,权利要求书已公开。
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PCT/CN2021/102613 WO2023272414A1 (zh) | 2021-06-28 | 2021-06-28 | 图像处理方法和图像处理装置 |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN117726543A (zh) * | 2023-07-14 | 2024-03-19 | 荣耀终端有限公司 | 图像处理方法和装置 |
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US11704771B2 (en) * | 2017-12-01 | 2023-07-18 | Huawei Technologies Co., Ltd. | Training super-resolution convolutional neural network model using a high-definition training image, a low-definition training image, and a mask image |
CN108805814B (zh) * | 2018-06-07 | 2020-05-19 | 西安电子科技大学 | 基于多频段深度卷积神经网络的图像超分辨重建方法 |
CN110599401A (zh) * | 2019-08-19 | 2019-12-20 | 中国科学院电子学研究所 | 遥感图像超分辨率重建方法、处理装置及可读存储介质 |
CN112446436A (zh) * | 2020-12-11 | 2021-03-05 | 浙江大学 | 基于生成对抗网络的抗模糊无人驾驶车辆多目标跟踪方法 |
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CN117726543A (zh) * | 2023-07-14 | 2024-03-19 | 荣耀终端有限公司 | 图像处理方法和装置 |
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