Data hiding in halftone images using mathematical morphology and conjugate ordered dithering

Satvik Sachdev; Aparna Nayak; Tribikram Pradhan

doi:10.1109/ICHPCA.2014.7045304

Data hiding in halftone images using mathematical morphology and conjugate ordered dithering

Satvik Sachdev, Aparna Nayak, Tribikram Pradhan

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

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

3 Citations (Scopus)

Abstract

Visual Cryptography (VC) is a cryptographic technique that allows visual information such as textual images, handwritten notes etc to be encrypted in such a way that the decryption can be performed using the human visual system i.e. eyes. Here we propose an algorithm for data hiding in halftone images. This algorithm uses a morphological operation and ordered dithering, and is a modified version of DHCOD[1].In this paper we focus on improving the security and robustness of shares in VC and generating more meaningful shares with respect to basic cryptographic scheme.

Original language	English
Title of host publication	2014 International Conference on High Performance Computing and Applications, ICHPCA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479959587
DOIs	https://doi.org/10.1109/ICHPCA.2014.7045304
Publication status	Published - 18-02-2015
Event	2014 International Conference on High Performance Computing and Applications, ICHPCA 2014 - Bhubaneswar, India Duration: 22-12-2014 → 24-12-2014

Conference

Conference	2014 International Conference on High Performance Computing and Applications, ICHPCA 2014
Country/Territory	India
City	Bhubaneswar
Period	22-12-14 → 24-12-14

All Science Journal Classification (ASJC) codes

Software

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10.1109/ICHPCA.2014.7045304

Cite this

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title = "Data hiding in halftone images using mathematical morphology and conjugate ordered dithering",

abstract = "Visual Cryptography (VC) is a cryptographic technique that allows visual information such as textual images, handwritten notes etc to be encrypted in such a way that the decryption can be performed using the human visual system i.e. eyes. Here we propose an algorithm for data hiding in halftone images. This algorithm uses a morphological operation and ordered dithering, and is a modified version of DHCOD[1].In this paper we focus on improving the security and robustness of shares in VC and generating more meaningful shares with respect to basic cryptographic scheme.",

author = "Satvik Sachdev and Aparna Nayak and Tribikram Pradhan",

year = "2015",

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doi = "10.1109/ICHPCA.2014.7045304",

language = "English",

booktitle = "2014 International Conference on High Performance Computing and Applications, ICHPCA 2014",

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

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note = "2014 International Conference on High Performance Computing and Applications, ICHPCA 2014 ; Conference date: 22-12-2014 Through 24-12-2014",

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Sachdev, S, Nayak, A & Pradhan, T 2015, Data hiding in halftone images using mathematical morphology and conjugate ordered dithering. in 2014 International Conference on High Performance Computing and Applications, ICHPCA 2014., 7045304, Institute of Electrical and Electronics Engineers Inc., 2014 International Conference on High Performance Computing and Applications, ICHPCA 2014, Bhubaneswar, India, 22-12-14. https://doi.org/10.1109/ICHPCA.2014.7045304

Data hiding in halftone images using mathematical morphology and conjugate ordered dithering. / Sachdev, Satvik; Nayak, Aparna; Pradhan, Tribikram.
2014 International Conference on High Performance Computing and Applications, ICHPCA 2014. Institute of Electrical and Electronics Engineers Inc., 2015. 7045304.

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

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AU - Sachdev, Satvik

AU - Nayak, Aparna

AU - Pradhan, Tribikram

PY - 2015/2/18

Y1 - 2015/2/18

N2 - Visual Cryptography (VC) is a cryptographic technique that allows visual information such as textual images, handwritten notes etc to be encrypted in such a way that the decryption can be performed using the human visual system i.e. eyes. Here we propose an algorithm for data hiding in halftone images. This algorithm uses a morphological operation and ordered dithering, and is a modified version of DHCOD[1].In this paper we focus on improving the security and robustness of shares in VC and generating more meaningful shares with respect to basic cryptographic scheme.

AB - Visual Cryptography (VC) is a cryptographic technique that allows visual information such as textual images, handwritten notes etc to be encrypted in such a way that the decryption can be performed using the human visual system i.e. eyes. Here we propose an algorithm for data hiding in halftone images. This algorithm uses a morphological operation and ordered dithering, and is a modified version of DHCOD[1].In this paper we focus on improving the security and robustness of shares in VC and generating more meaningful shares with respect to basic cryptographic scheme.

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M3 - Conference contribution

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Data hiding in halftone images using mathematical morphology and conjugate ordered dithering

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