Image Denoising Based on Dilated Singularity Prior

Joint Authors

Liao, Zhiwu
Hu, Shaoxiang
Chen, Wufan

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-05-08

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Civil Engineering

Abstract EN

In order to preserve singularities in denoising, we propose a new schemeby adding dilated singularity prior to noisy images.

The singularities are detected bycanny operator firstly and then dilated using mathematical morphology for findingpixels “near” singularities instead of “on” singularities.

The denoising results for pixelsnear singularities are obtained by nonlocal means in spatial domain to preserve singularitieswhile the denoising results for pixels in smooth regions are obtained by EMalgorithm constrained by a mask formed by downsampled spatial image with dilatedsingularity prior to suiting the sizes of the subbands of wavelets.

The final denoised resultsare got by combining the above two results.

Experimental results show that the schemecan preserve singularity well with relatively high PSNR and good visual quality.

American Psychological Association (APA)

Hu, Shaoxiang& Liao, Zhiwu& Chen, Wufan. 2012. Image Denoising Based on Dilated Singularity Prior. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-1029751

Modern Language Association (MLA)

Hu, Shaoxiang…[et al.]. Image Denoising Based on Dilated Singularity Prior. Mathematical Problems in Engineering No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-1029751

American Medical Association (AMA)

Hu, Shaoxiang& Liao, Zhiwu& Chen, Wufan. Image Denoising Based on Dilated Singularity Prior. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-1029751

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1029751