An adaptive edge-preserving image denoising technique using tetrolet transforms

Verfasser / Beitragende:
[Paras Jain, Vipin Tyagi]
Ort, Verlag, Jahr:
2015
Enthalten in:
The Visual Computer, 31/5(2015-05-01), 657-674
Format:
Artikel (online)
ID: 605541108
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024 7 0 |a 10.1007/s00371-014-0993-7  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00371-014-0993-7 
245 0 3 |a An adaptive edge-preserving image denoising technique using tetrolet transforms  |h [Elektronische Daten]  |c [Paras Jain, Vipin Tyagi] 
520 3 |a Denoising has always been one of the standard problems in image processing. It is always desirable to preserve important features, such as edges, corners and other sharp structures, during denoising. Wavelet transforms have been widely used in edge-preserving image denoising since these provide a suitable basis for suppressing noisy signals from the image. This paper presents a novel edge-preserving image denoising technique based on tetrolet transform (a Haar-type wavelet transform) and a locally adaptive thresholding method. The noisy image is decomposed into tetrolet (wavelets) coefficients through a tetrolet transform. A locally adaptive thresholding method exploiting interscale statistical dependency and based on computation of noise level is used to threshold the tetrolet coefficients to effectively reduce noise while preserving relevant features of the original image. Experimental results, compared to other approaches, demonstrate that the proposed method is suitable especially for the natural images contaminated by Gaussian noise. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Wavelet  |2 nationallicence 
690 7 |a Tetrolet transform  |2 nationallicence 
690 7 |a Local adaptive denoising  |2 nationallicence 
690 7 |a Edge preservation  |2 nationallicence 
700 1 |a Jain  |D Paras  |u Jaypee University of Engineering and Technology, Raghogarh, 473226, Guna, MP, India  |4 aut 
700 1 |a Tyagi  |D Vipin  |u Jaypee University of Engineering and Technology, Raghogarh, 473226, Guna, MP, India  |4 aut 
773 0 |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/5(2015-05-01), 657-674  |x 0178-2789  |q 31:5<657  |1 2015  |2 31  |o 371 
856 4 0 |u https://doi.org/10.1007/s00371-014-0993-7  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00371-014-0993-7  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Jain  |D Paras  |u Jaypee University of Engineering and Technology, Raghogarh, 473226, Guna, MP, India  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Tyagi  |D Vipin  |u Jaypee University of Engineering and Technology, Raghogarh, 473226, Guna, MP, India  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/5(2015-05-01), 657-674  |x 0178-2789  |q 31:5<657  |1 2015  |2 31  |o 371