Edge-preserving and structure-preserving recovery method for variation PDE (Partial Differential Equation) image

Abstract

The invention discloses an edge-preserving and structure-preserving recovery method for a variation PDE (Partial Differential Equation) image. A structural feature detection function is introduced to a model to punish different functional spaces in the model so as to make the model get adaptivity, even obtain a high-quality recovery image. In the model algorithm implementation, a problem is converted into a plurality of easily solved sub-problems, and a numerical value model has a fast Fourier transform feature by adopting a periodic differential format to solve efficiently and stably. According to the method provided by the invention, a software package lays particular emphasis on converting the model into the quickly solved sub-problems, and the sub-problems have separability and use fast Fourier transform by adopting the periodic differential format, therefore the problem can be efficiently and stably solved and have a parallelism.

Description

technical field [0001] The invention belongs to the technical field of image restoration technology, and relates to a method for restoring a variational PDE image with edge and structure preservation. Background technique [0002] In the process of image formation, recording, processing and transmission, due to the imperfection of imaging system, recording equipment and transmission media, etc., quality degradation problems such as noise, blur or partial information loss are often introduced into the image. For example, the disturbance effect of atmospheric turbulence, the noise interference caused by the change of environmental conditions and the quality of the sensing components themselves, the motion blur caused by the relative motion between the subject and the imaging device, etc. Image restoration is a technology that uses some prior knowledge of images to reconstruct images to improve image quality. However, with the improvement of image quality and image resolution ...

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Problems solved by technology

[0008] The purpose of the present invention is to overcome the disadvantages of the above-mentioned technologies, such as poor structural features such as maintaining image corners and edges and smooth gradient regions, low computational efficiency, and unfavorable processing of large data, and provide a variational PDE image edge-preserving Structural restoration method, which combines the fully variable fractal functional space and adaptive parameter selection criteria, adopts the strategy of transforming the objective function of the model into a strategy that can efficiently solve multiple sub-problems, establishes a new restoration model and develops a stable and efficient Apply software to restore high-quality images, so as to provide strong theoretical support and technology for image segmentation, fusion, completion, registration and recognition in remote sensing image processing, medical image processing, video target tracking and image structure feature extraction support

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