Image super-resolution system based on empirical mode decomposition

An empirical mode decomposition and super-resolution technology, applied in the field of image processing, can solve the problems of low iris recognition accuracy and low image resolution, and achieve the effect of restoring global topology and fine texture

Pending Publication Date: 2022-08-02
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The invention proposes an image super-resolution system based on empirical mode decomposition, which solves the problem of low image resolution and low iris recognition accuracy in related technologies

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  • Image super-resolution system based on empirical mode decomposition
  • Image super-resolution system based on empirical mode decomposition
  • Image super-resolution system based on empirical mode decomposition

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Embodiment Construction

[0024] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts, all relate to the protection scope of the present invention.

[0025] The iris super-resolution problem is a challenging and highly ill-posed problem. Recently, CNN-based methods have dominated the mainstream due to their strong performance. Among them, the vast majority of existing methods exploit the complete CNN scheme to extensively mine prior information. However, the inherent characteristic of CNN is to preferentially extract features of low-frequency components, and then gradually focus on high-frequency components. T...

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Abstract

The invention relates to the technical field of image processing, and provides an image super-resolution system based on empirical mode decomposition, and the system comprises an input module which is used for obtaining a first image; the first image is a low-resolution image; the feature extraction module is used for extracting features of the first image; the IMF prediction module is used for predicting a plurality of IMF feature maps according to the features of the first image; the plurality of IMF feature maps are located at different frequencies; the IMF prediction module comprises a plurality of parallel branches, each branch is a CNN filter bank, and the number of the branches is the same as that of the IMF feature maps; the reconstruction module is used for converting each IMF feature map into a new IMF according to a set amplification proportion to obtain a plurality of new IMFs; and superposing the plurality of new IMFs to obtain a second image, wherein the second image is a super-resolution image. According to the technical scheme, the problem of low iris recognition precision caused by low image resolution in the prior art is solved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular, to an image super-resolution system based on empirical mode decomposition. Background technique [0002] General biometric identification is a high-tech technology that quantifies human physiology, behavior and other characteristic information into digital feature representation through a special biometric acquisition device, and then realizes personal identity identification and authentication through pattern recognition, neural network and other methods. Among them, compared with common biometric identification technologies such as face and fingerprint, iris has the advantages of high uniqueness, strong stability, good anti-counterfeiting, and non-contact, and is considered to be the most potential biometric identification technology. Iris recognition technology and products have been widely used in public security and justice, financial banking, social security welfare,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00G06V40/18G06V10/20G06N3/04G06V10/82
CPCG06T3/4053G06T3/4046G06T5/001G06T2207/20084G06T2207/30196G06N3/048G06N3/045
Inventor 何召锋王甲张志礼夏玉峰王宸
Owner BEIJING UNIV OF POSTS & TELECOMM
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