Method and device for removing moire patterns

Abstract

The invention provides a method and device for removing moire fringes, and the method comprises the steps: taking a moire fringe-free image which is homologous with a to-be-processed image as a template, replacing a moire fringe region on the to-be-processed image with an image corresponding to a corresponding region of the template image, and eliminating the moire fringes in the to-be-processed image. According to the method provided by the invention, the damage to the image with smaller contrast with the background in the image is small, the moire fringes can be thoroughly removed, and the original information of the LCD defects in the image to be detected can be reserved to the maximum extent.

Description

technical field [0001] The present application belongs to the field of image processing, and in particular relates to a method and device for removing moiré. Background technique [0002] Moire fringes are the visual result of interference between two lines or two objects at a constant angle and frequency. If the human eye cannot distinguish the two lines or two objects, only the interference pattern can be seen. This optical The patterns in the phenomenon are moiré fringes. [0003] In the field of image processing, there is an increasing demand for moire fringe removal in the background. The methods to remove moire fringes mainly include physical methods and algorithm removal methods. Since the conditions for removing moiré fringes by physical methods are limited by the application occasions, the method of removing moiré fringes mainly turns to algorithm removal. [0004] The current algorithm for removing Moiré fringes is mainly based on the fact that the image with Moi...

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Problems solved by technology

[0005] However, this method of removing moiré fringes also has limitations. For example, for the liquid crystal display (LCD) industry, LCD screen defect detection usually uses industrial cameras to take pictures of the screen to be tested, and then detects the image of the captured screen to know the quality of the screen. Quality, because the pixel units of the LCD screen may interfere with the pixel units of the industrial camera lens to form moiré fringes, which will interfere with the detection of LCD screen defects, especially for low-contrast defects that are difficult to detect under this interference , or, causing moiré fringes to overcheck

[0006] For LCD defect detection, if the traditional solution is used to remove moiré fringes and directly rotate the image of the LCD liquid crystal unit, it will cause the image to be detected to exceed the preset range and cause image loss. The part of the image loss needs to be supplemented by detection, and the supplementary detection results need to be further improved. The defect information of the LCD to be detected can only be obtained by splicing with other image detection results, which will greatly damage the defects that may exist in the image

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