Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39353
Title: Lossless watermarking considering the human visual system
Authors: Awrangjeb, M.
Kankanhalli, M.S. 
Issue Date: 2004
Source: Awrangjeb, M.,Kankanhalli, M.S. (2004). Lossless watermarking considering the human visual system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2939 : 581-592. ScholarBank@NUS Repository.
Abstract: Due to quantization error, bit-replacement, or truncation, most data embedding techniques proposed so far lead to distortions in the original image. These distortions create problems in some areas such as medical, astronomical, and military imagery. Lossless watermarking is an exact restoration approach for recovering the original image from the watermarked image. In this paper we present a novel reversible watermarking technique with higher embedding capacity considering the Human Visual System (HVS). During embedding we detect the textured blocks, extract LSBs of the pixel-values from these textured blocks considering the HVS and concatenate the authentication information with the compressed bit-string. We then replace the LSBs of the textured blocks considering the HVS with this bit-string. Since we consider the HVS while extracting LSBs and embedding the payload, the distortions in the resulting watermarked image are completely reversible and imperceptible. We present experimental results to demonstrate the utility of our proposed algorithm. © Springer-Verlag 2004.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/39353
ISSN: 03029743
Appears in Collections:Staff Publications

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