Image processing method and device, computer equipment and storage medium

Abstract

The invention discloses an image processing method and device, computer equipment and a medium. The method comprises the steps that: the visual auxiliary information of a target user is obtained, wherein the visual auxiliary information at least comprises a target color vision disorder type and a color vision auxiliary recognition degree; color vision disorder prediction is performed on a to-be-displayed initial image by adopting the target color vision disorder type to obtain a color vision disorder view, wherein the color vision disorder view comprises target pixel points which the target user perceives abnormally; according to the color vision auxiliary recognition degree and the target color vision disorder type, target color values of the target pixel points in the color vision disorder view are corrected; and the corrected view and the initial image are fused, so that a visual auxiliary image can be obtained, and the visual auxiliary image is outputted. According to the image processing method and device, the computer equipment and the medium of the invention, the recognition degree of the image can be effectively improved, the user can be well assisted to carry out image recognition understanding, and thus the user viscosity is effectively improved.

Description

technical field [0001] The present application relates to the technical field of the Internet, specifically to the technical field of image processing, and in particular to an image processing method, an image processing device, a computer device, and a computer storage medium. Background technique [0002] Users with color vision impairment (may be referred to as color impairment users for short) refer to: users who cannot distinguish various colors or a certain color in the natural spectrum; it may include color blindness and color weakness. Users who have the ability to distinguish (perceive) one or several colors, and the so-called color weakness refers to users who have poor resolution of one or several colors. For example, common color-impaired users include red-green color blindness (that is, users who completely lose the ability to distinguish red / green), red-green color weakness (that is, users who have poor red / green ability to distinguish), and so on. [0003] It...

AI Technical Summary

Problems solved by technology

[0003] It can be seen that for a color-impaired user, when the color image displayed on the terminal screen includes a color that he cannot perceive or perceives weakly, it will make the color-impaired user unable to recognize and understand the color image more accurately; based on this , how to improve the recognition of images to assist color-impaired users to better recognize and understand color images has become an urgent problem to be solved

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