Expressive Color Visual Secret Sharing with Color to Gray & Back and Cosine Transform
Chaturvedi, Ratnesh Naresh (Symbiosis International University. Symbiosis Institute of Technology)
Thepade, Sudeep D. (Savitribai Phule Pune University. Department of Computer Engineering)
Ahirrao, Swati (Symbiosis International University. Symbiosis Institute of Technology)
Kothari, Sonali (Symbiosis International University. Symbiosis Institute of Technology)

Date:	2023
Abstract:	Color Visual Secret Sharing (VSS) is an essential form of VSS. It is so because nowadays, most people like to share visual data as a color image. There are color VSS schemes capable of dealing with halftone color images or color images with selected colors, and some dealing with natural color images, which generate low quality of recovered secret. The proposed scheme deals with a color image in the RGB domain and generates gray shares for color images using color to gray and back through compression. These shares are encrypted into an innocent-looking gray cover image using a Discrete Cosine Transform (DCT) to make meaningful shares. Reconstruct a high-quality color image through the gray shares extracted from an innocent-looking gray cover image. Thus, using lower bandwidth for transmission and less storage.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Color Visual Cryptography ; Color Visual Secret Sharing ; Color Image Encryption ; Image analysis and processing ; Computer vision ; Applications
Published in:	ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 1 (2023) , 1-14 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.cat/article/view/1405
DOI: 10.5565/rev/elcvia.2212023
DOI: 10.5565/rev/elcvia.1405

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