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Open AccessJournal Article

Data Embedding Based on Better Use of Bits in Image Pixels

Rehab H. Alwan, +2 more
- 28 Aug 2008 - 
- Vol. 2, Iss: 8, pp 2785-2788
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TLDR
A novel approach of image embedding is introduced that embeds three images in one image and includes, as a special case of data embedding, information hiding, identifying and authenticating text embedded within the digital images.
Abstract
In this study, a novel approach of image embedding is introduced. The proposed method consists of three main steps. First, the edge of the image is detected using Sobel mask filters. Second, the least significant bit LSB of each pixel is used. Finally, a gray level connectivity is applied using a fuzzy approach and the ASCII code is used for information hiding. The prior bit of the LSB represents the edged image after gray level connectivity, and the remaining six bits represent the original image with very little difference in contrast. The proposed method embeds three images in one image and includes, as a special case of data embedding, information hiding, identifying and authenticating text embedded within the digital images. Image embedding method is considered to be one of the good compression methods, in terms of reserving memory space. Moreover, information hiding within digital image can be used for security information transfer. The creation and extraction of three embedded images, and hiding text information is discussed and illustrated, in the following sections. Keywords—Image embedding, Edge detection, gray level connectivity, information hiding, digital image compression.

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Citations
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Image Steganography Using LSB and Edge - Detection Technique

TL;DR: In this paper search how the edges of the images can be used to hiding text message in Steganography, and give the depth view of image steganography and Edge detection Filter techniques.
Journal ArticleDOI

An Improved LSB Based Steganography Technique for RGB Color Images

TL;DR: An embedding algorithm for hiding encrypted messages in nonadjacent and random pixel locations in edges and smooth areas of images and is better in PSNR value and Capacity as shown experimentally than existing techniques.

A Novel Steganographic Method for Gray-Level Images

TL;DR: A novel Steganographic method for hiding information within the spatial domain of the gray scale image by dividing the cover into blocks of equal sizes and then embeds the message in the edge of the block depending on the number of ones in left four bits of the pixel.
Journal Article

Increased Capacity of Information Hiding in LSB-s Method for Text and Image

TL;DR: This paper proposes a new improved version of Least Significant Bit (LSB) method, which is simple for implementation when compared to Pixel value Differencing (PVD) method and yet achieves a High embedding capacity and imperceptibility.
Journal ArticleDOI

A New Approach for Information Security using an Improved Steganography Technique

TL;DR: An adaptive LSB based steganography is proposed for embedding data based on the data available in MSB’s (Most Significant Bits) of red, green, and blue components of randomly selected pixels across smooth areas to provide two-tier security.
References
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TL;DR: It is shown that any image can be embedded in a one-parameter family of derived images (with resolution as the parameter) in essentially only one unique way if the constraint that no spurious detail should be generated when the resolution is diminished, is applied.
Proceedings ArticleDOI

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TL;DR: A prediction-based conditional entropy coder which utilizes static portions of the host as side-information improves the compression efficiency, and thus the lossless data embedding capacity.
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TL;DR: Past work on fuzzy geometric concepts, which include connectedness, adjacency and surroundedness, starshapedness and convexity, area and perimeter, extent and diameter are summarized and some new results are included.
Journal ArticleDOI

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TL;DR: This paper generalizes topological relationships among parts of a digital picture to fuzzy subsets, and develops some of their basic properties.
Journal ArticleDOI

A multiresolution hierarchical approach to image segmentation based on intensity extrema

TL;DR: A computer algorithm which segments gray-scale images into regions of interest (objects) has been developed that can provide the basis for scene analysis (including shape-parameter calculation) or surface-based, shaded-graphics display.
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