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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۲، شماره ۱، صفحات ۳۵-۴۱
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عنوان انگلیسی An Improvement of Steerable Pyramid denoising method
چکیده انگلیسی مقاله 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. Obtained results convince us that the proposed scheme provides a better performance in noise blocking among reported state-of-the-art methods.
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نویسندگان مقاله e احساییان | e. ehsaeyan
sirjan university of technology

سازمان اصلی تایید شده: دانشگاه صنعتی سیرجان (Sirjan university of technology)

نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-1466-1&slc_lang=en&sid=en
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 5-Image Processing
نوع مقاله منتشر شده Research Paper
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