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Enhancing Embedding Capacity by Compartmentalizing Pixels Using LSB Techniques in Steganography


Affiliations
1 Department of Computer Applications, Lakshmi Narain College of Technology, Bhopal (MP), India
2 Department of Computer Applications, Samrat Ashok Technological Institute, Vidisha (M.P.), India
 

Information hiding in images has given a new dimension to provide data security during transmission. In this paper, we present an algorithm by which embedding capacity of the image is extended to a large extent. Each character of the secret message is segmented into three parts in the forms of bits to make it more secure and each pixel of the colored image is compartmentalized into three components, that is, red, green and blue to enhance the embedding capacity. Various permutations and combinations are done on the segmented parts of the message and components of the pixel to make it more robust and efficient. Our algorithm imposes no constraints regarding the type of pixel chosen for embedding or the particular region of the image. This enhanced algorithm is supported by our experimental results that show that a secret message of sufficient long length can be embedded in the colored cover image causing least distortions.

Keywords

Segmentation, Embedding Capacity, Distortion, Robustness.
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  • Enhancing Embedding Capacity by Compartmentalizing Pixels Using LSB Techniques in Steganography

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Authors

Sanjay Bajpai
Department of Computer Applications, Lakshmi Narain College of Technology, Bhopal (MP), India
Kanak Saxena
Department of Computer Applications, Samrat Ashok Technological Institute, Vidisha (M.P.), India

Abstract


Information hiding in images has given a new dimension to provide data security during transmission. In this paper, we present an algorithm by which embedding capacity of the image is extended to a large extent. Each character of the secret message is segmented into three parts in the forms of bits to make it more secure and each pixel of the colored image is compartmentalized into three components, that is, red, green and blue to enhance the embedding capacity. Various permutations and combinations are done on the segmented parts of the message and components of the pixel to make it more robust and efficient. Our algorithm imposes no constraints regarding the type of pixel chosen for embedding or the particular region of the image. This enhanced algorithm is supported by our experimental results that show that a secret message of sufficient long length can be embedded in the colored cover image causing least distortions.

Keywords


Segmentation, Embedding Capacity, Distortion, Robustness.