Filtering method in image recovery

An image restoration and image technology, applied in image enhancement, image data processing, instruments, etc., to achieve the effect of improving wide applicability and good filtering effect

Active Publication Date: 2014-01-15
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to propose a filtering method in image restoration to solve the problem that Kalman filtering requires the statistical characteristics of noise to be known in advance, and to solve the problem of image restoration

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Filtering method in image recovery
  • Filtering method in image recovery
  • Filtering method in image recovery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] The present invention will be described in further detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0013] like figure 1 As shown, it is the filtering method of the fixed-lag smoother based on Green space in the image restoration in this specific embodiment. A block diagram of image restoration using filters in Green space, including the following steps:

[0014] U1): block preprocessing of the image to be processed;

[0015] This step includes dividing the image to be processed into blocks, and determining the relationship between the physical information represented by each block of the divided image and the state vector.

[0016] Specifically, the image block preprocessing process (such as figure 2 shown) can be expressed as: every 4 adjacent pixels are sorted into a column vector of size 4×1 according to the following rules (X 1,1 (i), BX 3,3 (i)), and then select such a combination of 9 adjacent vectors ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a filtering method in image recovery. The filtering method comprises the following steps of 1, carrying out blocking preprocessing on an image to be processed; 2, establishing a state space model of the image in a green space; 3, generating a fixed delay smoother of the image and carrying out filtering processing on the image. According to the invention, a filtering calculation method of the green space is applied to image processing; compared with the calculated amount of the augmentation Kalman filtering algorithm, the calculated amount of the filtering method is greatly reduced; image recovery is implemented under the condition of not knowing the noise statistic characteristic; applicability of image noise filtering processing and robustness of image recovery are effectively improved.

Description

【Technical field】 [0001] The invention belongs to the field of computer image processing, and in particular relates to a filtering method in image restoration. Among them, image restoration refers to the process of reconstructing or restoring images with degraded quality through computer processing. 【Background technique】 [0002] Image filtering is an important step in image restoration. Kalman (Kalman) filtering in Hilbert space is commonly used in the prior art. As we all know, Kalman filtering is a recursive filtering process of continuous prediction and correction. Since it does not need to store a large amount of observation data when solving, and when new observation data is obtained, new parameter filtering values ​​can be calculated at any time, which is convenient. Real-time processing of observation results is therefore increasingly used in dynamic positioning data processing. However, to use Kalman filter to filter the system in Hilbert space, we need to know ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 王好谦刘翠张颖
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap