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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2014 International Conference on High Performance Computing and Applications, ICHPCA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959587
DOIs
Publication statusPublished - 18-02-2015
Event2014 International Conference on High Performance Computing and Applications, ICHPCA 2014 - Bhubaneswar, India
Duration: 22-12-201424-12-2014

Conference

Conference2014 International Conference on High Performance Computing and Applications, ICHPCA 2014
CountryIndia
CityBhubaneswar
Period22-12-1424-12-14

All Science Journal Classification (ASJC) codes

  • Software

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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.. https://doi.org/10.1109/ICHPCA.2014.7045304