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Image restoration method of blurred image, storage medium and terminal

A technology for blurring images and images, which is applied in the field of image restoration and can solve problems such as noise amplification

Pending Publication Date: 2021-06-08
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the problem of noise amplification when the noise increases in the existing image restoration technology, and to provide an image restoration method, storage medium and terminal for blurred images

Method used

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  • Image restoration method of blurred image, storage medium and terminal
  • Image restoration method of blurred image, storage medium and terminal
  • Image restoration method of blurred image, storage medium and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] like Figure 1-2 As shown, in embodiment 1, a kind of image restoration method of blurred image specifically comprises the following steps:

[0043] S11: performing wavelet decomposition on the image to be restored to obtain a multi-band decomposition image;

[0044] S12: Calculate the autocorrelation function of the decomposed image in each frequency band, and then obtain the initial point spread function of the decomposed image;

[0045] S13: Perform R-L iterative processing on the decomposed image according to the initial point spread function;

[0046] S14: Perform wavelet inverse transform on the decomposed image after R-L iterative processing to realize image restoration processing.

[0047] The present invention uses wavelet decomposition to separate the components of each frequency band in the image to be restored (fuzzy image), and performs R-L iterative processing on the decomposed image based on the point spread function of each decomposed image, which can ...

Embodiment 2

[0074] This embodiment provides a storage medium having the same inventive concept as Embodiment 1, on which computer instructions are stored, and the steps of an image restoration method for a blurred image in Embodiment 1 are executed when the computer instructions are run.

[0075] Based on this understanding, the technical solution of this embodiment is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium. Several instructions are included to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk...

Embodiment 3

[0077] This embodiment also provides a terminal, which has the same inventive concept as Embodiment 1, and includes a memory and a processor. The memory stores computer instructions that can be run on the processor, and the processor executes the computer instructions in Embodiment 1 when running the computer instructions. The invention relates to steps of an image restoration method for a blurred image. The processor may be a single-core or multi-core central processing unit or a specific integrated circuit, or one or more integrated circuits configured to implement the present invention.

[0078] Each functional unit in the embodiments provided by the present invention may be integrated into one processing unit, or each unit may physically exist separately, or two or more units may be integrated into one unit.

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Abstract

The invention discloses an image restoration method of a blurred image, a storage medium and a terminal, and belongs to the technical field of image restoration, and the method comprises the following steps: carrying out the wavelet decomposition of a to-be-restored image, and obtaining a multi-band decomposition image; calculating an autocorrelation function of the decomposed image of each frequency band so as to obtain an initial point spread function of the decomposed image; carrying out R-L iteration processing on the decomposed image according to the initial point spread function; and carrying out wavelet inverse transformation on the decomposed image subjected to R-L iteration processing to realize image restoration processing. According to the method, wavelet decomposition is utilized to separate each frequency band component in the to-be-restored image, and R-L iteration processing is performed on the decomposed image based on the point spread function of each decomposed image, so that the image noise amplification phenomenon can be effectively reduced, the image detail information can be well stored, the precision of the deconvolution algorithm is improved, and a clear restored image is obtained.

Description

technical field [0001] The present invention relates to the technical field of image restoration, in particular to an image restoration method for blurred images, a storage medium and a terminal. Background technique [0002] At present, human beings have entered the information age. The ability to obtain information is an important manifestation of a country's comprehensive strength. Images are a material reproduction of information that people perceive visually. Images can be recorded and stored in paper media, film, etc., which are sensitive to optical signals. on the medium. In the imaging process of a large field of view camera, there are many reasons for image blur, including image motion, defocusing of the imaging system, and atmospheric turbulence, which will cause image quality degradation, resulting in blurred image details and unclear features. The goal of the large field of view camera is to obtain high-quality continuous seamless wide-coverage images, so the ac...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/00
Inventor 代志勇陈秋兰
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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