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METHOD FOR ENHANCING IMAGE USING STRUCTURAL TENSOR BASED ON DEEP LEARNING AND DEVICE THEREOF

机译:基于深度学习的结构化张量图像增强方法及装置

摘要

According to embodiments of the present invention, provided is a method for enhancing an image of a device for enhancing an image which comprises a processor, a memory storing a program executed by the processor, and an image reception unit receiving an input image photographed by an image photographing device. The method for enhancing an image comprises the steps of: allowing a processor to receive an input image including a channel image with regard to each of a plurality of channels; allowing the processor to extract a plurality of first characteristic maps for enhancing the image by using an input residual block (Resblock) performing convolutional calculation and filtering of the channel image; allowing the processor to generate an integrated characteristic map by coupling the plurality of extracted first characteristic maps to each other; and allowing the processor to generate a second characteristic map by using an output Resblock performing convolutional calculation and filtering of the integrated characteristic map and generate an output image in which distortion of the input image is improved through the second characteristic map.;COPYRIGHT KIPO 2020
机译:根据本发明的实施例,提供了一种用于增强图像的装置的图像的方法,该装置包括处理器,存储由处理器执行的程序的存储器,以及图像接收单元,该图像接收单元接收由处理器拍摄的输入图像。图像拍摄装置。用于增强图像的方法包括以下步骤:允许处理器接收关于多个通道中的每个通道的包括通道图像的输入图像;以及通过使用输入残差块(Resblock)对通道图像进行卷积计算和滤波,允许处理器提取多个第一特征图以增强图像;允许处理器通过将多个提取的第一特性图彼此耦合来生成综合特性图; COPYRIGHT KIPO 2020;以及允许处理器通过使用输出Resblock来生成第二特性图,该输出Resblock对综合特性图进行卷积计算和滤波,并生成通过第二特性图改善了输入图像的失真的输出图像。

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