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Improving visual quality for vector schemes

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posted on 2020-01-01, 00:00 authored by B Yan, Yong XiangYong Xiang, G Hua
© Springer Nature Singapore Pte Ltd. 2020. To further improve the visual quality for grayscale secret images, we introduce the vector VC approach that encodes one block as a unit. First, we outline the basic vector VC for binary secret images. Then, we combine the AbS framework with vector VC to get better visual quality than AbS-based probabilistic VC and AbS-based random grid VC. For separate halftoning and VC encryption, we use the blackness preserving algorithm. For grayscale secret image, we develop an AbS-based vector VC algorithm.

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Pagination

97-116

ISSN

1860-4862

eISSN

1860-4870

Publication classification

BN Other book chapter, or book chapter not attributed to Deakin

Publisher

Springer

Place of publication

Singapore

Title of book

Improving Image Quality in Visual Cryptography

Series

Signals and Communication Technology

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