A Restoration Method of Cultural Collection Image Based on Self-color Transfer

A restoration method and archiving technology, which is applied in the field of cultural archival image restoration based on self-color migration, can solve the problems of ancient calligraphy and painting restoration steps, such as many steps, energy consumption, and easy damage, so as to improve the restoration effect and speed up the restoration , the effect of reducing stress

Active Publication Date: 2021-10-08
NANJING FORESTRY UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Most of the materials used in Chinese ancient calligraphy and painting are silk and paper, which are thin and thin. In addition to the age, they are prone to damage and fading.
The current method of digitalizing calligraphy and painting collections is to first restore the traditional craftsmanship, and then scan and upload. However, there are many steps in the restoration of ancient calligraphy and painting. The process of paper and other processes requires the restorer to be careful and concentrate, and consumes a lot of energy

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
  • A Restoration Method of Cultural Collection Image Based on Self-color Transfer
  • A Restoration Method of Cultural Collection Image Based on Self-color Transfer
  • A Restoration Method of Cultural Collection Image Based on Self-color Transfer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Such as Figure 1-6 As can be seen, the present invention comprises the following steps:

[0025] S1, get the original skeleton texture image: use the rectangle cutting function Cut out a good part near the damaged part from the image to be repaired as the original image of the skeleton texture image, and use Photoshop to darken, sharpen and lighten the original image in turn to obtain the skeleton texture image;

[0026] S2, repair the damaged part: use the magic wand tool to select the damaged part to be repaired;

[0027] S3, remove the background color and inlay the skeleton texture image: use the eraser tool to remove the background color of the damaged part, inlay the skeleton texture image to the original damaged part and place it at the bottom;

[0028] S4, obtaining the source image of local color migration: using the rectangular cutting function to intercept the damaged part inlaid with the skeleton texture image from the image after step S3, as the source ...

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 present invention provides a method for repairing images in cultural collections based on self-color transfer, which includes the following steps: S1 to obtain the original image of the skeleton texture image, S2 to repair the damaged part, S3 to remove the background color and inlay the skeleton texture image, and S4 to obtain the local color migration source image , S5 obtains the local color migration reference image, S6 performs local color migration, S7 accurately fills the damaged parts, and S8 repairs other damaged parts in the image. The self-color restoration of the present invention saves the search step of the reference image and replaces it with the intact part of the image to be repaired, which saves repair time and improves the repair effect; reduces the manual pressure of the restorer and other workers, and obtains better virtual effects for the restorer to refer to , to increase the repair rate.

Description

technical field [0001] The present invention mainly relates to the field of image processing, in particular to an image restoration method for cultural archives based on self-color transfer. Background technique [0002] Most of the materials used in Chinese ancient calligraphy and painting are silk and paper, which are thin and thin. In addition to the age, they are prone to damage and fading. The current method of digitalizing calligraphy and painting collections is to first restore the traditional craftsmanship, and then scan and upload. However, there are many steps in the restoration of ancient calligraphy and painting. Paper and other processes require restorers to be careful and concentrate, and consume a lot of energy. Contents of the invention [0003] The present invention provides a restoration method for images of cultural collections based on self-color transfer. Aiming at the above-mentioned defects in the prior art, a method for restoration of images of cul...

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 Patents(China)
IPC IPC(8): G06T5/00G06T7/10
CPCG06T5/003G06T5/008G06T7/10
Inventor 王琪顾秋露陈茜
Owner NANJING FORESTRY 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