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Image processing method, system and device and storage medium

An image processing and image technology, applied in the field of signal processing, can solve the problems that it is difficult to meet the current needs of image sparse reconstruction, the convergence of the method cannot be demonstrated from the perspective of optimization, and the flexibility of the model and the convergence of the theory cannot be considered. Improve the operation speed and reconstruction accuracy, high reconstruction accuracy, and ensure the effect of convergence

Pending Publication Date: 2021-11-19
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, the current differentiable neural network cannot take into account both model flexibility and theoretical convergence. Some of the methods with theoretical convergence have strict dimension and operation restrictions on the introduced network parameters, while the methods that allow the introduction of flexible network parameters cannot. Demonstrate the convergence of the method from the perspective of optimization
Therefore, it is difficult to meet the current needs of image sparse reconstruction

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  • Image processing method, system and device and storage medium
  • Image processing method, system and device and storage medium
  • Image processing method, system and device and storage medium

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Embodiment Construction

[0057] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention. Parts that are not described in detail below can be implemented using existing technologies.

[0058] The image processing method provided by the embodiment of the present invention can be used for image sparse reconstruction, image denoising, compressed sensing image reconstruction or image restoration, wherein, a general linear optimization inverse is established under the one-norm regular constraint of the sparse signal Problem: Based on the iterative soft threshold shrinkage algorithm, a differe...

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Abstract

The invention provides an image processing method, system and device and a storage medium, which are used for image sparse reconstruction, image denoising, compressed sensing image reconstruction or image restoration. The image processing method comprises the following steps: establishing a general linear optimization inverse problem under the norm regular constraint of a sparse signal; on the basis of a standard or learned iterative soft threshold shrinkage algorithm, establishing a differentiable deep network model based on convex combination to solve the problem; introducing a deep neural network of any structure in the solving step to accelerate the solving step, and reducing the number of iterations required for convergence of the algorithm. According to the method, a traditional iterative optimization algorithm and a deep neural network of any structure are combined, the image reconstruction performance is improved, rapid convergence is ensured, and the current demand of image sparse reconstruction is met.

Description

technical field [0001] The present invention relates to the field of signal processing, in particular to an image processing method, system, device and storage medium. Background technique [0002] With the development of media technology, massive data is facing huge challenges in real-time transmission, analysis, and storage. For example, the development of a large number of applications of media images in various aspects puts forward higher requirements for image resolution and imaging speed. Image sparse reconstruction can solve the problems of partial loss of image signals and low image compression efficiency during the compression process due to the large amount of image information. , in order to reconstruct the image required by the application. [0003] In response to the above technical requirements, researchers have proposed solutions, such as Chinese patents CN201611029446.2 and CN106780636A, which propose a sparse reconstruction method and device for images. Acc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T3/40G06K9/62G06N3/04G06N3/08
CPCG06T3/4046G06N3/04G06N3/084G06T2207/20081G06T2207/20084G06F18/214G06T5/70Y02T10/40G06T5/60G06T5/00
Inventor 戴文睿郑紫阳李成林邹君妮熊红凯
Owner SHANGHAI JIAO TONG UNIV
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