Method and apparatus for blind separation of permutation aliasing image

A technology of permutation aliasing and blind separation, which is applied in the field of signal processing, can solve the problems of poor separation accuracy and achieve the effects of stable features, simplified separation process, and improved accuracy

Active Publication Date: 2018-12-18
HENAN NORMAL UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method and device for blind separation of permutation and aliasing images, which is used to solve the problem of poor separation accuracy caused by artificially selected features.

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  • Method and apparatus for blind separation of permutation aliasing image
  • Method and apparatus for blind separation of permutation aliasing image
  • Method and apparatus for blind separation of permutation aliasing image

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Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0050] Convolutional neural network is a machine learning model under deep supervised learning. It has strong adaptability, is good at mining local features of data, extracts global training features and classification, and its weight sharing structure network makes it more similar to biological Neural networks have achieved good results in various fields of pattern recognition.

[0051] For the analysis of the replacement and aliasing images with noise difference between the replacement area and the replaced area, the invention provides a replacement and aliasing image blind separation device using a convolutional neural network. The device includes a processor and a memory, and the processor is used for Instructions stored in memory are ...

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Abstract

The invention relates to a permutation aliasing image blind separation method and a device. The method comprises the following steps: obtaining a training data set according to a noisy permutation aliasing image of at least two known permutation region positions; the convolutional neural network being constructed, and the acquired training data set being input to the convolutional neural network for training, and the trained convolutional neural network being obtained. The permutation aliasing images to be detected are preprocessed and input to the trained convolution neural network to obtainthe image feature map. The image feature map is optimized, and the optimized image feature map and the original permutation aliasing image to be detected are multiplied to get the separation effect map. The invention adopts the convolution neural network to automatically extract the features of the replacement aliasing images, the extracted features are stable, are not influenced by human factors,and the accuracy of image separation is improved. Moreover, the separation process is simplified and the separation speed is improved by changing the separation problem to the classification problem.

Description

technical field [0001] The invention relates to a method and device for blind separation of permutation and aliasing images, belonging to the technical field of signal processing. Background technique [0002] Blind Source Separation (BSS), also known as Blind Signal Separation (BSS), is based only on the observed mixed output signal without requiring too much source signal and channel prior information. , the process of separating each input source signal is a research hotspot in the field of signal processing, and is widely used in image processing, data transmission, voice signal processing, mobile communication, biomedical signal processing and other fields. Blind separation of replaced and aliased images is to separate the replaced region from the replaced region when the position, size, and number of the replaced region are unknown. After that, domestic scholars carried out further research on this kind of permutation and aliasing images, and obtained some results. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F2218/04G06F2218/08G06F18/2134
Inventor 段新涛李飞飞刘艺航
Owner HENAN NORMAL UNIV
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