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Image processing method for removing Newton's halo

A picture processing and picture technology, applied in the field of image processing, can solve the problem of inconvenient taking out and achieve the effect of improving readability

Inactive Publication Date: 2018-08-21
广州布伦南信息科技有限公司
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

While removing the noise, it also removes some details of the image, especially the sharp edge details, and the traditional image has the problem of Newton's halo, and the existing technology has the problem of inconvenient extraction, so a new one is needed. technology to solve the above problems

Method used

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Embodiment 1

[0018] Embodiment 1: convert the picture to be processed into double format; preprocess the size of the picture after double format conversion, obtain image data, use background modeling to extract the effective area of ​​image samples, and analyze and machine learn halo samples. Perform HSV decomposition on the noisy image to extract the brightness component: Let I(x,y) be the actual image containing noise pollution without denoising processing, and S(x,y) be the denoising of I(x,y). The result image after processing, both are RGB color format, and size is M * N, the present invention does not limit denoising processing method, any effective image denoising processing method can be used for I(x, y ) for denoising to obtain S(x,y); transform I(x,y) and S(x,y) into HSV color space respectively, and obtain two images Ihsv(x,y) in HSV color space respectively ) and Shsv(x, y), take out the brightness components of the two, calculate the approximate variance of the image pixels, d...

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PUM

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Abstract

The present invention provides an image processing method for removing the Newton's halo. The method comprises: carrying out double format conversion on a to-be-processed image; and preprocessing thesize of the image after being subjected to the double format conversion, acquiring image data, extracting an effective area of the image sample by using background modeling, carrying out analysis andmachine learning on the halo sample, carrying out HSV decomposition on the noise image, and extracting the luminance component. According to the method provided by the present invention, the denoisingprocessing method is not limited, the background modeling is to establish a reasonable and realistic background for the image, the image sample screening is the primary screening and artificial refinement screening by using the color and size of the image, image region cognition is to use image color statistical information and image moment information as the classification features of the image,and the image suppression algorithm is used to suppress the halation of the region; and the halo target appearing in the video is recognized and detected after acquiring the video, and halation suppression is performed on the detection area, so that the readability of the video monitoring picture is improved.

Description

technical field [0001] The invention relates to a picture processing method for removing Newton's halo, belonging to the technical field of image processing. Background technique [0002] In the prior art, images are the most important way for humans to obtain information. According to statistics, 80% of information obtained by humans comes from images. An image is a mapping of the three-dimensional physical world on a two-dimensional plane. Generally, the image captured by the camera will go through the ISP (Imagesignal processing) process, which roughly includes the following steps: sensor photosensitive → color interpolation → image denoising → white balance → color correction → gamma correction → edge enhancement → image output . In this process, image denoising processing is used to remove noise in the image, including interpolation noise, dark noise, and truncation noise. While removing the noise, it also removes some details of the image, especially the sharp edge ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/90
CPCG06T7/90G06T5/70
Inventor 陈建杭
Owner 广州布伦南信息科技有限公司
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