An improved LSB embedding technique for image steganography

Sugathan, Sherin

doi:10.1109/icatcct.2016.7912072

Cited by 30 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this method, the secret message is stored in the least significant bits of the original cover image and the bits are flipped accordingly. In this process, the change only takes place at the least significant bits [13] of the original image and never on the most significant bits due the resultant noise in the image.…”

Section: ) Steganography Phasesmentioning

confidence: 99%

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Jayapandiyan

Kavitha

Sakthivel³

2020

IEEE Access

View full text Add to dashboard Cite

Text Steganography has become a dominant research field in information sharing domain and many researches are being conducted to strengthen this area. Researches around the amount of secret message that could be stored in a given cover image is always critical for any steganography technique used to share the secret text. This research paper proposes an enhanced Least Significant Bit (eLSB) embedding technique in steganography, through which the quality of cover image is improved, when compared to typical LSB algorithm used in steganography. The proposed method employs in spatial domain and it does the secret message encoding in two phases. The first phase generates the metadata and embeds the header information in first few bytes of cover image and then the following phase takes care of processing secret message and storing the secret message in cover image using an optimized way, which is possible through analyzing secret text's character sequences. Proposed work results into occupying lesser space for the given secret text in cover image and hence leads to the better stego image quality than existing LSB algorithms. As the algorithm works on optimizing secret message during embedding phase itself, this technique enables high capacity embedding rate, additional security due to secret message preprocessing and enhanced cover image quality. The results are compared with LSB algorithm and compared to Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Root Mean Square Error (RMSE) values to prove the proposed algorithm performs better on secret text embedding in cover image.

show abstract

Section: ) Steganography Phasesmentioning

confidence: 99%

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Jayapandiyan

Kavitha

Sakthivel³

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In this paper, Karthikeyan B, Asha S, Poojasree B [20] proposed a data hiding technique inside the color image using LSB embedding [21] [22]. Authors developed this encryption technique to conceal the text messages in the images.…”

Section: In This Paper Eugenijus Margaritas and Simonamentioning

confidence: 99%

A Prototype Model for Image Encryption using ZigZig Blocks in Inter-Pixel Displacement of RGB Value

2020

IJATCSE

View full text Add to dashboard Cite

Amount of information which can be stored within the images, and the movement of images over open network takes to the problem of image theft and breach of confidentiality. To prevent the loss of information from images, it leads the idea of image encryption in which various researchers are trying to encrypt image in such a way that un-authorized users should not be able to access the information kept within image, and for the same purpose researchers have proposed different image encryption techniques with confusing features to keep the images secure when they are moving over open networks. So, in the chain of existing work, we are purposing an image encryption method which is using block formation within the image, and each block is then used in zigzag manner followed by interpixel displacement of RGB values within that zigzag area of the block. The block sizes can vary from image to image and this is part of the key.

show abstract

“…The drawback of proposed method is during implementation a warning is given requesting to increase the image size or decrease the secret text size, if the payload capacity ratio is not maintained and the tool designed is not updated for compressed images. Sherin Sugathan et al [8] proposed a new algorithm for LSB replacement based image steganography for RGB color images. The directional aspects of embedding data is explored to develop an improved LSB embedding technique.…”

Section: Related Workmentioning

confidence: 99%

An Overview on LSB and LSB+HUFFMAN based Steganography

Lakshmi¹

2018

IJRASET

View full text Add to dashboard Cite

Now a day's internet has became common use, with increase in use of internet providing security to information is also important. Steganography is a method to provide network security. Steganography is art of secret communication. It involves hiding information in an appropriate carrier e.g., text, image, audio, video. This paper uses two techniques for Steganography (text into image). Least Significant Bit (LSB) and Least Significant Bit with Huffman code (LSB+HUFF) and compares result using Peak Signal to Noise Ratio (PSNR).

show abstract

An improved LSB embedding technique for image steganography

Cited by 30 publications

References 15 publications

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

A Prototype Model for Image Encryption using ZigZig Blocks in Inter-Pixel Displacement of RGB Value

An Overview on LSB and LSB+HUFFMAN based Steganography

Contact Info

Product

Resources

About