Algorithm for de-noising of color images based on median filter

Ashwani Kumar Yadav; Ratnadeep Roy; Raj Kumar; Cheruku Sandesh Kumar; Archek Praveen Kumar

doi:10.1109/iciip.2015.7414811

Algorithm for de-noising of color images based on median filter

Ashwani Kumar Yadav, Ratnadeep Roy, Raj Kumar, Cheruku Sandesh Kumar, Archek Praveen Kumar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

29 Scopus citations

Abstract

Noise degrades the image quality at a large extent in all kinds of images. Impulse noise is the most common one. Correlation is used for analysis of features of the filtering mask. In this work a new algorithm for de-noising, based on median filter is proposed. It has been implemented for the denoising of grayscale and color images which are corrupted by impulse noise. This median filter based algorithm removes the noisy pixels by median value or with the help of collective study of the processed neighboring pixel values. The problem of increasing window size is also removed. To check the efficiency and the performance of the proposed algorithm it has been compared with various filters and corresponding algorithms. The experiments are performed over a range of noise density, which ranges from 5% to 80% for Lena and Peppers images. Results are compared in terms of PSNR and MSE.

Original language	English
Title of host publication	Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015
Editors	Hemraj Saini, Satya Prakash Ghrera, Vivek Kumar Sehgal
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	428-432
Number of pages	5
ISBN (Electronic)	9781509001484
DOIs	https://doi.org/10.1109/iciip.2015.7414811
State	Published - 19 Feb 2016
Externally published	Yes
Event	3rd International Conference on Image Information Processing, ICIIP 2015 - Waknaghat, India Duration: 21 Dec 2015 → 24 Dec 2015

Publication series

Name	Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015

Conference

Conference	3rd International Conference on Image Information Processing, ICIIP 2015
Country/Territory	India
City	Waknaghat
Period	21/12/15 → 24/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

De-noising,Image Features
Median Filter and Noise density
PSNR

Access to Document

10.1109/iciip.2015.7414811

Cite this

Yadav, A. K., Roy, R., Kumar, R., Kumar, C. S., & Kumar, A. P. (2016). Algorithm for de-noising of color images based on median filter. In H. Saini, S. P. Ghrera, & V. K. Sehgal (Eds.), Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015 (pp. 428-432). Article 7414811 (Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iciip.2015.7414811

Yadav, Ashwani Kumar ; Roy, Ratnadeep ; Kumar, Raj et al. / Algorithm for de-noising of color images based on median filter. Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015. editor / Hemraj Saini ; Satya Prakash Ghrera ; Vivek Kumar Sehgal. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 428-432 (Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015).

@inproceedings{f65fec29266d4b98a7d3a0f7ae8b1881,

title = "Algorithm for de-noising of color images based on median filter",

abstract = "Noise degrades the image quality at a large extent in all kinds of images. Impulse noise is the most common one. Correlation is used for analysis of features of the filtering mask. In this work a new algorithm for de-noising, based on median filter is proposed. It has been implemented for the denoising of grayscale and color images which are corrupted by impulse noise. This median filter based algorithm removes the noisy pixels by median value or with the help of collective study of the processed neighboring pixel values. The problem of increasing window size is also removed. To check the efficiency and the performance of the proposed algorithm it has been compared with various filters and corresponding algorithms. The experiments are performed over a range of noise density, which ranges from 5% to 80% for Lena and Peppers images. Results are compared in terms of PSNR and MSE.",

keywords = "De-noising,Image Features, Median Filter and Noise density, PSNR",

author = "Yadav, {Ashwani Kumar} and Ratnadeep Roy and Raj Kumar and Kumar, {Cheruku Sandesh} and Kumar, {Archek Praveen}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd International Conference on Image Information Processing, ICIIP 2015 ; Conference date: 21-12-2015 Through 24-12-2015",

year = "2016",

month = feb,

day = "19",

doi = "10.1109/iciip.2015.7414811",

language = "אנגלית",

series = "Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "428--432",

editor = "Hemraj Saini and Ghrera, {Satya Prakash} and Sehgal, {Vivek Kumar}",

booktitle = "Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015",

address = "ארצות הברית",

}

Yadav, AK, Roy, R, Kumar, R, Kumar, CS & Kumar, AP 2016, Algorithm for de-noising of color images based on median filter. in H Saini, SP Ghrera & VK Sehgal (eds), Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015., 7414811, Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015, Institute of Electrical and Electronics Engineers Inc., pp. 428-432, 3rd International Conference on Image Information Processing, ICIIP 2015, Waknaghat, India, 21/12/15. https://doi.org/10.1109/iciip.2015.7414811

Algorithm for de-noising of color images based on median filter. / Yadav, Ashwani Kumar; Roy, Ratnadeep; Kumar, Raj et al.
Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015. ed. / Hemraj Saini; Satya Prakash Ghrera; Vivek Kumar Sehgal. Institute of Electrical and Electronics Engineers Inc., 2016. p. 428-432 7414811 (Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Algorithm for de-noising of color images based on median filter

AU - Yadav, Ashwani Kumar

AU - Roy, Ratnadeep

AU - Kumar, Raj

AU - Kumar, Cheruku Sandesh

AU - Kumar, Archek Praveen

PY - 2016/2/19

Y1 - 2016/2/19

N2 - Noise degrades the image quality at a large extent in all kinds of images. Impulse noise is the most common one. Correlation is used for analysis of features of the filtering mask. In this work a new algorithm for de-noising, based on median filter is proposed. It has been implemented for the denoising of grayscale and color images which are corrupted by impulse noise. This median filter based algorithm removes the noisy pixels by median value or with the help of collective study of the processed neighboring pixel values. The problem of increasing window size is also removed. To check the efficiency and the performance of the proposed algorithm it has been compared with various filters and corresponding algorithms. The experiments are performed over a range of noise density, which ranges from 5% to 80% for Lena and Peppers images. Results are compared in terms of PSNR and MSE.

AB - Noise degrades the image quality at a large extent in all kinds of images. Impulse noise is the most common one. Correlation is used for analysis of features of the filtering mask. In this work a new algorithm for de-noising, based on median filter is proposed. It has been implemented for the denoising of grayscale and color images which are corrupted by impulse noise. This median filter based algorithm removes the noisy pixels by median value or with the help of collective study of the processed neighboring pixel values. The problem of increasing window size is also removed. To check the efficiency and the performance of the proposed algorithm it has been compared with various filters and corresponding algorithms. The experiments are performed over a range of noise density, which ranges from 5% to 80% for Lena and Peppers images. Results are compared in terms of PSNR and MSE.

KW - De-noising,Image Features

KW - Median Filter and Noise density

KW - PSNR

UR - http://www.scopus.com/inward/record.url?scp=84969626593&partnerID=8YFLogxK

U2 - 10.1109/iciip.2015.7414811

DO - 10.1109/iciip.2015.7414811

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:84969626593

T3 - Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015

SP - 428

EP - 432

BT - Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015

A2 - Saini, Hemraj

A2 - Ghrera, Satya Prakash

A2 - Sehgal, Vivek Kumar

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Image Information Processing, ICIIP 2015

Y2 - 21 December 2015 through 24 December 2015

ER -

Yadav AK, Roy R, Kumar R, Kumar CS, Kumar AP. Algorithm for de-noising of color images based on median filter. In Saini H, Ghrera SP, Sehgal VK, editors, Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 428-432. 7414811. (Proceedings of 2015 3rd International Conference on Image Information Processing, ICIIP 2015). doi: 10.1109/iciip.2015.7414811

Algorithm for de-noising of color images based on median filter

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this