Gray level image colorizing method and device

A grayscale image, colorization technology, applied in image enhancement, image data processing, instrument and other directions, can solve the problems of color aliasing and distortion in the edge area

Inactive Publication Date: 2014-01-01
NANJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 16 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 overcome the defect of color aliasing and distortion in the edge area existing in the existing image colorization method based on YUV joint correlation, and to provide a

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
  • Gray level image colorizing method and device
  • Gray level image colorizing method and device
  • Gray level image colorizing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0042] The present invention aims at the problem of color aliasing and distortion in the edge area existing in the existing image colorization method based on YUV joint correlation, and improves it: firstly, the similarity measure that comprehensively considers the spatial position information and the brightness information is adopted, from the following Search for very similar pixels that are closer to the pixel to be colored in terms of position and brightness value in a larger window area (rather than a small neighborhood) centered on the pixel to be colored; then calculate the very similar The normalized local luminance weighting coefficient of the pixel; then solve the chroma-coefficient constraint matrix equation expressed by the chroma of all pixels and the local luminance weighting coefficient to obtain the chroma of the pixel to be colored; fina...

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 gray level image colorizing method, and belongs to the technical field of digital image processing. Directing at the problem that in an existing image colorizing method based on YUV joint correlation, colors of an edge region are mixed and distorted, the existing image colorizing method is improved. The gray level image colorizing method comprises the steps that firstly, the similarity degree of spatial position information and brightness information is considered comprehensively and used, and a plurality of extremely similar pixels are searched out from a larger window region with a pixel to be colorized as the center; secondarily, the post-normalization local brightness weighting coefficients of the extremely similar pixels are calculated; then a chromaticity-coefficient constraint matrix equation formed by chromaticity of all the pixels and the local brightness coefficients of all the pixels is solved to obtain the chromaticity of the pixel to be colorized; at last, an image is converted from a YUV space to a RGB space to obtained a colorized image. The invention further discloses a gray level image colorizing device using the method. The gray level image colorizing method and device can reduce color mixing and distortion of the edge region of the image, and improve the subjective and objective quality of the colorized image.

Description

technical field [0001] The invention relates to a grayscale image colorization method, which mainly solves the problem of obvious color aliasing and distortion at the edge of the image in the existing YUV joint correlation image colorization method, and belongs to the technical field of digital image processing. Background technique [0002] The image is the result of the objective world directly or indirectly acting on the human eye through the reflection of light, and the sensitivity of the human eye to color is higher than that of grayscale, so enhancing the chromaticity information of the image can effectively improve the vision of the image Effect. Image colorization is one such technique. Image colorization is a process of adding color to images or videos based on a small amount of artificially added color information, which can be widely used in image editing. For example, the purpose of replacing the color in the color picture is achieved by manually calibrating pa...

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 干宗良刘峰胡继瑶陈昌红朱秀昌徐琼
Owner NANJING UNIV OF POSTS & TELECOMM
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