Reversible data-hiding method for palette-based images

Jia-Hong Lee; Mei-Yi Wu

doi:10.1117/1.2902399

1 April 2008 Reversible data-hiding method for palette-based images

Jia-Hong Lee, Mei-Yi Wu

Author Affiliations +

Optical Engineering, Vol. 47, Issue 4, 047008 (April 2008). https://doi.org/10.1117/1.2902399

Abstract

This study proposes a novel reversible data-hiding method based on an iterative approach for palette-based images. In each iteration, the number of occurrences of palette color in the image is computed in order to identify the most and least frequently occurring colors in a palette for data hiding. Data are hidden by sacrificing the least frequent color and placing the most frequent color in its position in the palette to make a pair. After the most frequent color takes over the palette index of the least frequent color, two palette indices stand for the most frequent color. Therefore, one bit can be hidden in every pixel where the most frequent color occurs in the image. To make the host image reversible, the overhead information caused by sacrificing the least frequent color must be saved for image reconstruction. The performance of the proposed method is demonstrated on test images by showing the capacity and distortion. Several successful similar efforts have also been implemented for comparison. Experimental results indicate that the proposed method has a high embedding capacity and good marked-image quality.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jia-Hong Lee and Mei-Yi Wu "Reversible data-hiding method for palette-based images," Optical Engineering 47(4), 047008 (1 April 2008). https://doi.org/10.1117/1.2902399

Published: 1 April 2008

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available