AN IMPROVEMENT OF STEERABLE PYRAMID DENOISING METHOD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

EHSAEYAN E.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING Year:2016 | Volume:12 | Issue:1 Page(s): 35-41

Download Full-Text

View:

224

Download:

229

Cites:

Information Journal Paper

Title

AN IMPROVEMENT OF STEERABLE PYRAMID DENOISING METHOD

Author(s)

EHSAEYAN E. | Issue Writer Certificate

Keywords

COMPLEX WAVELET TRANSFORM

DENOISING

DUAL-TREE

STEERABLE PYRAMID

TOTAL VARIATION

Abstract

The use of wavelets in DENOISING, seems to be an advantage in representing well the details. However, the edges are not so well preserved. TOTAL VARIATION technique has advantages over simple DENOISING techniques such as linear smoothing or median filtering, which reduce noise, but at the same time smooth away edges to a greater or lesser degree.In this paper, an efficient DENOISING method based on TOTAL VARIATION model (TV), and DUAL-TREE COMPLEX WAVELET TRANSFORM (DTCWT) is proposed to incorporate both properties. In our method, TV is employed to refine low-passed coefficients and DTCWT is used to shrink high-passed noisy coefficients to achieve more accurate image recovery. The efficiency of our approach is firstly analyzed by comparing the results with well-known methods such as probShrink, BLS-GSM, SUREbivariate, NL-Means and TV model.Secondly, it is compared to some DENOISING methods, which have been reported recently.Experimental results show that the proposed method outperforms the STEERABLE PYRAMID DENOISING by 8.5% in terms of PSNR and 17.5% in terms of SSIM for standard images.Obtained results convince us that the proposed scheme provides a better performance in noise blocking among reported state-of-the-art methods.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

EHSAEYAN, E.. (2016). AN IMPROVEMENT OF STEERABLE PYRAMID DENOISING METHOD. IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING, 12(1), 35-41. SID. https://sid.ir/paper/299899/en

Vancouver: Copy

EHSAEYAN E.. AN IMPROVEMENT OF STEERABLE PYRAMID DENOISING METHOD. IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING[Internet]. 2016;12(1):35-41. Available from: https://sid.ir/paper/299899/en

IEEE: Copy

E. EHSAEYAN, “AN IMPROVEMENT OF STEERABLE PYRAMID DENOISING METHOD,” IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING, vol. 12, no. 1, pp. 35–41, 2016, [Online]. Available: https://sid.ir/paper/299899/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops