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Mobile phone image denoising method based on wavelet transform edge detection

A technology of wavelet transform and edge detection, which is applied in the field of image processing, can solve the problems of not being able to detect the best edge of the image and the influence of noise

Active Publication Date: 2016-06-08
SOUTHEAST UNIV
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  • Claims
  • Application Information

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Problems solved by technology

The existing edge detection operator mainly detects the high-frequency part of the signal, which is seriously affected by noise and cannot detect the best edge of the image.

Method used

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  • Mobile phone image denoising method based on wavelet transform edge detection
  • Mobile phone image denoising method based on wavelet transform edge detection
  • Mobile phone image denoising method based on wavelet transform edge detection

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Embodiment Construction

[0081] The detailed process of the method of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and embodiments.

[0082] Step 1: Read in a frame with size L 1 × L 2 ×3 noise color image I 0 , where L 1 and L 2 are positive integers, respectively denoting the noise color image I 0 The total number of rows and total columns, and then the input noise color image I 0 Convert from RGB color space to YUV color space:

[0083] Y U V = 0.299 0.587 0.114 - 0.147 - 0.289 ...

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Abstract

The invention discloses a mobile phone image denoising method based on wavelet transform edge detection. The mobile phone image denoising method disclosed by the invention can be used for effectively smoothing noise, reserving image edge details and removing colour noise at the same time, so that an ideal denoising effect is obtained. The mobile phone image denoising method disclosed by the invention comprises the following steps: firstly, reading a colour noise image, and converting an input image into a YUV colour space from an RGB colour space; secondly, smoothing the image by adopting a Gaussian filter, and carrying out lowpass filtering on a Y channel image three times; thirdly, detecting the edge of the image by utilizing a wavelet transform algorithm; fourthly, obtaining a binary image of the edge by carrying out threshold segmentation; fifthly, smoothing noise by carrying out anisotropic diffusion at the edge region of the image; sixthly, carrying out mean filtering in a smooth region of the image for denoising; seventhly, further removing the colour noise from the image in the smooth region; and eighthly, converting the image into the RGB colour space from the YUV colour space to obtain a final denoised image.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a mobile phone image denoising method based on wavelet transform edge detection. Background technique [0002] Due to its convenience, mobile phones are widely used in real life, and people have higher and higher requirements for mobile phone images. In the field of image processing, noise removal has always been a research hotspot. The edge information is easy to be damaged in the denoising process of mobile phone images. In order to improve the quality of mobile phone images and remove noise without blurring the edge contour of the image, different methods are used to denoise the edges and smooth areas of the image. The existing edge detection operator mainly detects the high-frequency part of the signal, which is seriously affected by noise and cannot detect the best edge of the image. The edge detection algorithm based on wavelet transform can effectively detect the edge of th...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/20G06T7/00
CPCG06T5/20G06T2207/20064G06T2207/20004G06T2207/10024G06T5/70
Inventor 路小波韩雪曾维理刘春雪伍学惠
Owner SOUTHEAST UNIV
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