A New Image Denoising Method Based on Adaptive Multiscale Morphological Edge Detection
Joint Authors
Zhao, Qingqi
Wang, Gang
Liu, Jinhai
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Wavelet transform is an effective method for removal of noise from image.
But traditional wavelet transform cannot improve the smooth effect and reserve image’s precise details simultaneously; even false Gibbs phenomenon can be produced.
This paper proposes a new image denoising method based on adaptive multiscale morphological edge detection beyond the above limitation.
Firstly, the noisy image is decomposed by using one wavelet base.
Then, the image edge is detected by using the adaptive multiscale morphological edge detection based on the wavelet decomposition.
On this basis, wavelet coefficients belonging to the edge position are dealt with with the improved wavelet domain wiener filtering, and the others are dealt with with the improved Bayesian threshold and the improved threshold function.
Finally, wavelet coefficients are inversely processed to obtain the denoised image.
Experimental results show that this method can effectively remove the image noise without blurring edges and highlight the characteristics of image edge at the same time.
The validation results of the denoised images with higher peak signal to noise ratio (PSNR) and structural similarity (SSIM) demonstrate their robust capability for real applications in the future.
American Psychological Association (APA)
Wang, Gang& Zhao, Qingqi& Liu, Jinhai. 2017. A New Image Denoising Method Based on Adaptive Multiscale Morphological Edge Detection. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190328
Modern Language Association (MLA)
Wang, Gang…[et al.]. A New Image Denoising Method Based on Adaptive Multiscale Morphological Edge Detection. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1190328
American Medical Association (AMA)
Wang, Gang& Zhao, Qingqi& Liu, Jinhai. A New Image Denoising Method Based on Adaptive Multiscale Morphological Edge Detection. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190328
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190328