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Image denoising method and system

An image noise reduction and image technology, applied in the field of image processing, can solve problems such as loss

Active Publication Date: 2020-02-21
深圳市云之梦科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an image noise reduction method and system. The present invention uses the infrared image collected by the TOF three-dimensional scanner to guide the depth image to perform rapid noise reduction processing, and at the same time solves the problem of clear edge images and avoids the original details of the image. loss of information

Method used

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  • Image denoising method and system
  • Image denoising method and system

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Experimental program
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Embodiment 1

[0057] This embodiment provides an image noise reduction method, including:

[0058] The input camera captures the original depth image and the original infrared image;

[0059] Remove the front and back background from the collected depth image, and obtain the original depth image with the front and rear background removed;

[0060] Remove the ground from the original depth image removed from the front and back, and obtain the original depth image removed from the ground;

[0061] Remapping the gray value of the collected infrared image to obtain the remapped infrared image;

[0062] Removing the foreground and foreground of the remapped infrared image to obtain an infrared image for which the foreground and foreground are removed;

[0063] Ground-filtering the ground-filtered infrared image of the front and rear backgrounds to obtain the filtered infrared image;

[0064] Binarize the filtered infrared image to obtain a binarized infrared image;

[0065] superimposing the...

Embodiment 2

[0069] This embodiment provides an image noise reduction method, including:

[0070] The input camera captures the original depth image and the original infrared image;

[0071] Remove the front and rear backgrounds from the collected original infrared image to obtain the original infrared image with the front and rear background removed;

[0072] Remove the ground from the original infrared image removed from the front and back, and obtain the original infrared image removed from the ground;

[0073] Remap the gray value of the collected original depth image to obtain the remapped depth image;

[0074] Removing the foreground and foreground of the remapped depth image to obtain the depth image for which the foreground and foreground are removed;

[0075] Ground-filtering the depth image of the foreground and foreground to obtain the filtered depth image;

[0076] Binarize the filtered depth image to obtain a binarized depth image;

[0077] superimposing the binarized dept...

Embodiment 3

[0081] This embodiment provides an image noise reduction system, including:

[0082] The camera acquisition module is used to acquire the original depth image and the original infrared image;

[0083] The first foreground and foreground removal module is used to remove the foreground and foreground of the original depth image to obtain the original depth image for which the foreground and foreground are removed;

[0084] The first ground removal module is used to remove the ground of the original depth image to obtain the original depth image removed from the ground;

[0085] The gray value remapping module is used for remapping the gray value of the infrared image to obtain the remapped infrared image;

[0086] The second foreground and background elimination module is used to eliminate the foreground and foreground of the remapped infrared image to obtain the infrared image for which the foreground and foreground are eliminated;

[0087] The ground filtering module is used...

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Abstract

The invention provides an image denoising method.The method comprises the steps that an input camera collects an original depth image and an original infrared image; the foreground and background of the collected depth image are removed, and the original depth image without the foreground and background is obtained; the ground of the original depth image without the foreground and background is removed, and the original depth image without the ground is obtained; the gray value of the collected infrared image is remapped, and the remapped infrared image is obtained; the foreground and background of the remapped infrared image are removed, and the infrared image without the foreground and background is obtained; the infrared image without the foreground and background is subjected to ground filtration, and the filtered infrared image is obtained; the filtered infrared image is binarized, and the binarized infrared image is obtained; the binarized infrared image and the original depth image without the ground are superposed and denoised, and a denoised image is obtained; the edge of the denoised image is enhanced through a united bilateral filter algorithm, and the enhanced image is obtained; the enhanced image is used for replacing the collected original infrared image, and the enhanced and denoised infrared image is obtained.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image noise reduction method and system. Background technique [0002] With the development of science and technology, images, as one of the main information carriers in the multimedia era, are susceptible to quality degradation due to the interference of imaging equipment and external environmental noise during the process of acquisition, conversion and transmission. Therefore, image noise reduction is an important aspect of image engineering. A basic and necessary preprocessing step, it is one of the key technologies of image perception, classification and recognition. The essence of image noise reduction is pattern classification, that is, to separate the irregular "noise pattern" with some singularity from the regular "image pattern". [0003] At present, image denoising methods are mainly divided into three categories: spatial domain filtering, transform...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10028G06T2207/10048G06T2207/20192
Inventor 杨智远
Owner 深圳市云之梦科技有限公司
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