کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6959486 1451959 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Data embedding in random domain
ترجمه فارسی عنوان
جاسازی داده در حوزه تصادفی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
A universal data embedding method based on histogram mapping called DeRand (Data embedding in Random domain) is proposed. DeRand theoretically defines redundancy in any digital signal by applying the universal parser such that high entropy random signals can certainly be utilized for data embedding. First, DeRand recursively parses a random signal into a set of tuples each of certain length until there exist some tuples of zero occurrences in the histogram. Then, tuples that occur in the histogram are associated with those of zero occurrences. Next, a tuple (of non-zero occurrence) is mapped to its corresponding associated tuple to embed “1”, while the tuple is left unmodified to embed “0”. DeRand is universal, reversible, applicable to any random signal and scalable in terms of embedding capacity and signal quality. Experimental results show that DeRand achieves an embedding capacity up to 4909 bits in random signal of size 256 Kbytes. In addition, the quality of the processed signal ranges from 0.0075 to 395.67 in terms of MSE.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 108, March 2015, Pages 56-68
نویسندگان
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