An edge detection based anisotropic denoising method for mobile phone images

To satisfy people's increasing requirement of mobile phone images, remove the image noise and prevent the edge from blurred, an edge detection based anisotropic denoising method for mobile phone image is proposed in this paper. To begin with, wavelet transform edge detection and threshold segme...

Full description

Saved in:
Bibliographic Details
Published in2015 8th International Congress on Image and Signal Processing (CISP) pp. 876 - 881
Main Authors Xue Han, Xiaobo Lu, Xuehui Wu, Chunxue Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2015
Subjects
anisotropic diffusion denoising
Colored noise
edge detection
graying
Image color analysis
Image edge detection
Mobile handsets
mobile phone image
Noise reduction
wavelet transform
Wavelet transforms
Online AccessGet full text

Cover

More Information
Summary:To satisfy people's increasing requirement of mobile phone images, remove the image noise and prevent the edge from blurred, an edge detection based anisotropic denoising method for mobile phone image is proposed in this paper. To begin with, wavelet transform edge detection and threshold segmentation are adopted to extract the outline of the image. Then anisotropic diffusion denoising algorithm is applied to remove noise on the edge of the image while average filter is used in the smooth area. Finally the denoised image is grayed to further eliminate color noise, so as to improve the denoising effect. Simulation and actual experimental results show that the proposed method can effectively smooth noise, preserve image edge and remove the color noise, consequently obtain the ideal denoising effect. It is competitive with the existing methods both in terms of peak signal-to-noise ratio (PSNR) and in structural similarity index measure (SSIM).
DOI:10.1109/CISP.2015.7408001