Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction

The watermark detection procedure for images corrupted by impulsive noise is proposed. The procedure is based on the compressive sensing (CS) method for the reconstruction of corrupted pixels. It is shown that the proposed procedure can extract watermark with a moderate impulsive noise level. It is...

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Main Authors: B. Lutovac, M. Dakovic, S. Stankovic, I. Orovic
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2017-04-01
Series:Radioengineering
Subjects:
Online Access:http://www.radioeng.cz/fulltexts/2017/17_01_0309_0315.pdf
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author B. Lutovac
M. Dakovic
S. Stankovic
I. Orovic
author_facet B. Lutovac
M. Dakovic
S. Stankovic
I. Orovic
author_sort B. Lutovac
collection DOAJ
description The watermark detection procedure for images corrupted by impulsive noise is proposed. The procedure is based on the compressive sensing (CS) method for the reconstruction of corrupted pixels. It is shown that the proposed procedure can extract watermark with a moderate impulsive noise level. It is well known that most of the images are approximately sparse in the 2D DCT domain. Moreover, we can force sparsity in the watermarking procedure and obtain almost strictly sparse image as a desirable input to the CS based reconstruction algorithms. Compared to the state-of-the-art methods for impulse noise removal, the proposed solution provides much better performance in watermark extraction.
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spelling doaj.art-0a8f2b8aac12440cbc86c740aa3f21052022-12-22T01:48:25ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122017-04-01261309315Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing ReconstructionB. LutovacM. DakovicS. StankovicI. OrovicThe watermark detection procedure for images corrupted by impulsive noise is proposed. The procedure is based on the compressive sensing (CS) method for the reconstruction of corrupted pixels. It is shown that the proposed procedure can extract watermark with a moderate impulsive noise level. It is well known that most of the images are approximately sparse in the 2D DCT domain. Moreover, we can force sparsity in the watermarking procedure and obtain almost strictly sparse image as a desirable input to the CS based reconstruction algorithms. Compared to the state-of-the-art methods for impulse noise removal, the proposed solution provides much better performance in watermark extraction.http://www.radioeng.cz/fulltexts/2017/17_01_0309_0315.pdfImage watermarkingimpulsive noisecompressive sensingsparse reconstructiongradient algorithm
spellingShingle B. Lutovac
M. Dakovic
S. Stankovic
I. Orovic
Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction
Radioengineering
Image watermarking
impulsive noise
compressive sensing
sparse reconstruction
gradient algorithm
title Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction
title_full Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction
title_fullStr Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction
title_full_unstemmed Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction
title_short Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction
title_sort watermark detection in impulsive noise environment based on the compressive sensing reconstruction
topic Image watermarking
impulsive noise
compressive sensing
sparse reconstruction
gradient algorithm
url http://www.radioeng.cz/fulltexts/2017/17_01_0309_0315.pdf
work_keys_str_mv AT blutovac watermarkdetectioninimpulsivenoiseenvironmentbasedonthecompressivesensingreconstruction
AT mdakovic watermarkdetectioninimpulsivenoiseenvironmentbasedonthecompressivesensingreconstruction
AT sstankovic watermarkdetectioninimpulsivenoiseenvironmentbasedonthecompressivesensingreconstruction
AT iorovic watermarkdetectioninimpulsivenoiseenvironmentbasedonthecompressivesensingreconstruction