A Mesh Noise Removal Method Preserving Sharpness

A technology of noise elimination and grid, applied in image enhancement, image analysis, instruments, etc., can solve the problems of high-speed operation, consumption of large computing resources, insufficiency of image processing speed, etc., to achieve low computing resource requirements and reduce The effect of system resource cost

Active Publication Date: 2020-06-02
BEIJING DAHENG IMAGE VISION +1
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  • Claims
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Problems solved by technology

[0007] In the prior art, there are still some complex algorithms to remove grid noise or perform edge detection in the process of grid noise removal, but the existing grid noise removal or edge detection algorithms will consume a large amount of computing resources, resulting in the loss of image processing. Applications where the speed cannot meet high-speed operation conditions

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  • A Mesh Noise Removal Method Preserving Sharpness
  • A Mesh Noise Removal Method Preserving Sharpness
  • A Mesh Noise Removal Method Preserving Sharpness

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Embodiment Construction

[0034] The present invention will be described in detail below with reference to the accompanying drawings and the embodiments thereof, but the protection scope of the present invention is not limited to the scope described in the embodiments.

[0035] The present invention adopts 2×2 median filter to carry out non-linear processing on the image, in order to maintain the sharpness of the edge in the scene, the smooth region is judged before filtering, and the median filter is not processed for the non-smooth region.

[0036] 1 Non-smooth region voting (including edge detection process and voting process).

[0037] 1.1 Edge detection

[0038] Edge detection is performed in both horizontal and vertical directions within a 3×3 range on the lower right of the current point.

[0039] like figure 1 As shown, the current point is a.

[0040] The horizontal correlation points are b and c, if (a-b)*(b-c)>0,

[0041] It is determined that there is an edge in the horizontal direction...

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Abstract

The invention discloses a grid noise elimination method capable of keeping acutance. The method comprises the step of based on determination about whether each pixel in a target image belongs to a smooth region, carrying out filtering processing on the smooth region in the target image. According to the invention, by carrying out screening of the smooth region by use of the voting method, one corner of the image is used as a starting point, smooth region voting is performed on each pixel successively pixel by pixel, and by endowing a related pixel to a voting value of the current pixel, a voting value of each pixel is determined, so the acutance of the image is kept while grid noise is removed; the method has anti-noise performance; few parameters are included in the method and the methodis irrelevant to image brightness, so good processing effects are achieved for images in different grid shapes.

Description

technical field [0001] The invention relates to an image quality improvement technology. Aiming at the current optical sensor with grid template noise, the method can remove the grid noise in the image while retaining the sharpness of the edge of the image. Background technique [0002] Grid noise is generated because there are periodic brightness differences in the horizontal and vertical directions of the image, and these differences are specifically manifested as horizontal and vertical stripes. An image with both horizontal and vertical stripes is a grid. Due to the image scaling algorithm, the grid is more visible when the image is zoomed out. [0003] For images containing grid noise, there are currently three ways to deal with them. [0004] 1. Improve the image quality of the camera and improve the optical sensor. This method is expensive and not easy to implement. [0005] 2. The image is smoothed, and the fixed difference between pixels is eliminated by means o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/13
CPCG06T5/002G06T5/003G06T7/13G06T2207/20032
Inventor 高晓阳周中亚杨煦刘强强王玉成宋伟铭李润锋刘敏
Owner BEIJING DAHENG IMAGE VISION
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