IEEE 2015 MATLAB PROGRESSIVE HALFTONE WATERMARKING USING MULTILAYER TABLE LOOKUP STRATEGY.pptx

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PROGRESSIVE HALFTONE WATERMARKING USING
MULTILAYER TABLE LOOKUP STRATEGY
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ABSTRACT

• In this paper, a half toning-based multilayer
  watermarking of low computational complexity is
  proposed. An additional data-hiding technique is
  also employed to embed multiple watermarks into
  the watermark to be embedded to improve the
  security and embedding capacity. At the encoder,
  the efficient direct binary search method is
  employed to generate 256 reference tables to
  ensure the output is in halftone format.
  Subsequently, watermarks are embedded by a set of
  optimized compressed tables with various textural
  angles for table lookup.

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• At the decoder, the least mean square metric is
  considered to increase the differences among
  those generated phenotypes of the embedding
  angles and reduce the required number of
  dimensions for each angle. Finally, the naïve
  Bayes classifier is employed to collect the
  possibilities of multilayer information for
  classifying the associated angles to extract the
  embedded watermarks. These decoded watermarks can
  be further overlapped for retrieving the
  additional hidden-layer watermarks. Experimental
  results show that the proposed method requires
  only 8.4 ms for embedding a watermark into an
  image of size 512 512, under the 32-bit Windows
  7 platform running on 4GB RAM, Intel core i7
  Sandy Bridge with 4GB RAM and IDE Visual Studio
  2010. Finally, only 2 MB is required to store the
  proposed compressed reference table.

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EXISTING SYSTEM

• In a single watermark image is injected into
  multiple host images with phase shifting.
  However, this method yields low contrast
  extracted watermark.
• Among many techniques, the DBS offers the best
  image quality with high computational complexity.
• The method combined the DBS scheme and spread
  spectrum to achieve a high
• watermark detection rate with an acceptable
  watermarked image quality. However, these methods
  cannot insert multiple watermark information.

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PROPOSED SYSTEM

• This paper proposes a high efficiency multi-layer
  half toning based watermarking which adopts
  noise-balanced error diffusion to achieve high
  embedding capacity and improve security aspect.
  The encoder employs an Efficient Direct Binary
  Search (EDBS) and Look-Up-Table (LUT) method to
  embed multiple watermarks. The decoder simply
  utilizes the Least-Mean-Square (LMS) and naïve
  Bayes classifier to extract the embedded
  watermarks in multi-layer framework with
  self-decoding capability. For example, the
  watermark images of size 128128, 6464, and
  3232 can be inserted into the host image of size
  4096 4096.

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SOFTWARE REQUIREMENTS

• Mat Lab R2015a
• Image processing Toolbox 7.1