Unlock instant, AI-driven research and patent intelligence for your innovation.

Color blindness image recoloring method and system based on joint saliency

A salient, image technology, applied in the field of image processing, can solve the problem of unnatural color distribution, achieve the effect of correction and salience

Pending Publication Date: 2021-07-16
SHANDONG INST OF BUSINESS & TECH
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But there is a problem with this kind of color correction. The color distribution of the corrected image looks unnatural, such as blue apples, blue cherries, etc.

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
  • Color blindness image recoloring method and system based on joint saliency
  • Color blindness image recoloring method and system based on joint saliency
  • Color blindness image recoloring method and system based on joint saliency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] This embodiment discloses a color-blind image recoloring method based on joint saliency, comprising the following steps:

[0038] 1) According to the image retrieval technology, a large number of images with content similarity are retrieved;

[0039] 2) Perform color blindness simulation on the retrieved images;

[0040] 3) Use joint saliency detection to perform saliency detection on the color-blind simulated image and the original image;

[0041] 4) Analyze the detection results and select the best reference image;

[0042] 5) Recolor the grayscale image using the image coloring technique based on the reference image;

[0043] In the step 1), the image retrieval can be divided into the following steps:

[0044] 1-1) The human visual system is more sensitive to color, orientation and intensity information. Quantize features in HSV space, uniformly quantize H, S and V color channels into 6, 3 and 3 bins, a total of 6×3×3=54 color combinations, use M C (x,y)=w,w∈{0,...

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 color blindness image recoloring method based on joint saliency, and the method comprises the following steps: retrieving a large number of images with content similarity according to an image retrieval technology; performing color blindness simulation on the retrieved image; performing saliency detection on the color blindness simulation image and the original image by using joint saliency detection; analyzing a detection result, and selecting an optimal reference image; and re-coloring the grey-scale map by using an image coloring technology based on a reference image. According to the invention, color blindness image recoloring based on joint saliency is realized, the purpose of saliency correction is achieved, and the requirement of required color correction is met.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a color-blind image recoloring method and system based on joint saliency. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Under standard vision, people can correctly perceive the frequency of light reflected from an object's surface. However, for patients with color vision deficiency, due to genetic factors or acquired damage, they lose part of their color perception ability, so they cannot observe the colorful world. Unfortunately, there is still no effective cure for color blindness. The frequently used Ishihara (Ishihara panel) test detects color vision deficiencies, which fall into three main categories: red-green color blindness, blue-yellow color blindness, and complete color blindness. Because color vision deficiency is usua...

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): G06T7/90G06T11/00
CPCG06T7/90G06T11/001
Inventor 李晋江冯晓美范辉
Owner SHANDONG INST OF BUSINESS & TECH