Texture synthesis and image repair method based on wavelet transformation

A texture synthesis and wavelet transform technology, applied in the field of image repair, can solve the problems of poor repair effect and time-consuming repair technology, and achieve the effect of improving the quality of the repaired image, improving the structural characteristics and improving the efficiency.

Inactive Publication Date: 2010-01-27
HUNAN UNIV
View PDF0 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned technical problems existing in the existing image restoration based on texture synthesis, the present invention provides a texture synthesis image restoration method based on wavelet transform
The invention int

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
  • Texture synthesis and image repair method based on wavelet transformation
  • Texture synthesis and image repair method based on wavelet transformation
  • Texture synthesis and image repair method based on wavelet transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] see figure 1 , figure 1 It is a flowchart of the present invention, and its specific implementation steps are as follows:

[0019] 1. Perform two-dimensional wavelet transform on the defect image:

[0020] The three color channels of the color image to be repaired are respectively subjected to wavelet transformation, and each channel is decomposed into a low-frequency sub-image and three high-frequency sub-images (including horizontal high-frequency, vertical high-frequency and diagonal high-frequency sub-images), and the decomposition The subsequent sub-images at all levels contain the spatial structure information of the original image. According to the Mallat algorithm, the specific process of two-dimensional wavelet transform is as follows:

[0021] A ( i , j ) = Σ m , n l ...

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 texture synthesis and image repair method based on wavelet transformation. The method comprises the following steps: performing the wavelet transformation on an input damaged image, and decomposing the image into a low-frequency sub-image and three high-frequency sub-images; marking an repair region of the original image to form a binary mask image and sampling the mask image to match resolution of the mask image with a wavelet sub-image; analyzing structural information of the original image by a high-frequency coefficient of wavelet decomposition to determine an repair sequence of defect pixels, and filling and repair various sub-images by the texture synthesis method; and performing wavelet inversion on various wavelet sub-images to obtain the repaired image. The method helps repair the image in combination with structure and texture information of the image on the basis of the wavelet transformation, has excellent effects of repairing large-area damage images and greatly improves repair efficiency.

Description

technical field [0001] The invention relates to an image restoration method, in particular to a texture synthesis image restoration method based on wavelet transform. Background technique [0002] Image restoration is an important part of image restoration research. Its purpose is to automatically repair the lost information of the image according to the existing information of the image, and make the observer unable to detect that the image has been damaged or has been repaired. Many factors can cause partial information loss on digital images, such as scratches or damages on the image itself; digital scanning of old photos and ancient relics; information loss during image acquisition, processing, compression, transmission and decompression, etc. Digital image restoration is the method and means of automatically recovering the defect and loss of these information. Digital image restoration technology has become a research hotspot in current computer graphics and computer v...

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
IPC IPC(8): G06T5/00
Inventor 李树涛彭莉赵明
Owner HUNAN 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