کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
391552 661856 2015 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel reversible image data hiding scheme based on pixel value ordering and dynamic pixel block partition
ترجمه فارسی عنوان
طرح پنهان اطلاعات تصویر برگشت پذیر بر اساس دستورالعمل ارزش پیکسل و پارتیشن بلوک پیکسل پویا
کلمات کلیدی
مخفی کردن اطلاعات برگشت پذیر، سفارش پیکسل ارزش، پارتیشن بلوک پویا، گسترش پیش بینی-خطا
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Recently, various efficient reversible data-hiding schemes based on pixel value ordering have been proposed for embedding messages into high-fidelity images. In these schemes, after dividing the cover image into equal-sized blocks, the pixels within a given block are ordered according to their values, and data embedding is achieved by modifying the maximum and minimum values of each block. For a given embedding capacity, the optimal block size is exhaustively searched so that the embedding distortion is minimized. These pixel value ordering-based schemes perform fairly well, especially for low embedding capacity. However, to obtain a larger embedding capacity, a smaller block size should be used, which usually leads to a dramatic quality degradation of the marked image. In this paper, to address this drawback and to enhance the performance of pixel value ordering-based embedding further, a novel reversible data hiding method is proposed. Instead of using equal-sized blocks, a dynamic blocking strategy is used to divide the cover image adaptively into various-sized blocks. Specifically, flat image areas are preferentially divided into smaller blocks to retain high embedding capacity, whereas rough areas are divided into larger blocks to avoid decreasing peak signal-to-noise ratio. As a result, the proposed scheme can provide a larger embedding capacity than current pixel value ordering-based schemes while keeping distortion low. The superiority of the proposed method is also experimentally verified.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 310, 20 July 2015, Pages 16–35
نویسندگان
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