Curve-Let Transform Based 'Text-In-Image Steganography ' By Using Huffman Coding

Information security is one of the main aspects of processes and methodologies in the technical age of information and communication. The security of information should be a key priority in the secret exchange of information between two parties. In order to ensure the security of information, there are some strategies that are used, and they include steganography and cryptography. An effective digital image-steganographic method based on odd/even pixel allocation and random function to increase the security and imperceptibility has been improved. This lately developed outline has been verified for increasing the security and imperceptibility to determine the existent problems. Huffman coding has been used to modify secret data prior embedding stage; this modified equivalent secret data that prevent the secret data from attackers to increase the secret data capacities. The main objective of our scheme is to boost the peak-signal-to-noise-ratio (PSNR) of the stego cover and stop against any attack. The size of the secret data also increases. The results confirm good PSNR values in addition of these findings confirmed the proposed method eligibility.

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A combination of least significant bit and deflate compression for image steganography

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v12i1.pp358-364 ◽

2022 ◽

Vol 12 (1) ◽

pp. 358

Author(s):

Huda Kadhim Tayyeh ◽

Ahmed Sabah Ahmed AL-Jumaili

Keyword(s):

Data Compression ◽

State Of The Art ◽

Image Steganography ◽

Cover Image ◽

Huffman Coding ◽

Secret Message ◽

Least Significant Bit ◽

Stable Performance ◽

Image Pixels ◽

Lsb Technique

Steganography is one of the cryptography techniques where secret information can be hidden through multimedia files such as images and videos. Steganography can offer a way of exchanging secret and encrypted information in an untypical mechanism where communicating parties can only interpret the secret message. The literature has shown a great interest in the least significant bit (LSB) technique which aims at embedding the secret message bits into the most insignificant bits of the image pixels. Although LSB showed a stable performance of image steganography yet, many works should be done on the message part. This paper aims to propose a combination of LSB and Deflate compression algorithm for image steganography. The proposed Deflate algorithm utilized both LZ77 and Huffman coding. After compressing the message text, LSB has been applied to embed the text within the cover image. Using benchmark images, the proposed method demonstrated an outperformance over the state of the art. This can proof the efficacy of using Deflate as a data compression prior to the LSB embedding.

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An improved security and message capacity using AES and Huffman coding on image steganography

TELKOMNIKA (Telecommunication Computing Electronics and Control) ◽

10.12928/telkomnika.v17i5.9570 ◽

2019 ◽

Vol 17 (5) ◽

pp. 2400 ◽

Cited By ~ 1

Author(s):

Christy Atika Sari ◽

Giovani Ardiansyah ◽

De Rosal Ignatius Moses Setiadi ◽

Eko Hari Rachmawanto

Keyword(s):

Image Steganography ◽

Huffman Coding

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RGB Frequency Based Image Steganography

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit206359 ◽

2020 ◽

pp. 549-553

Author(s):

Himanshu Kumar ◽

Nitesh Kumar

Keyword(s):

Image Steganography ◽

Minimum Number

In this paper, we introduced a new RGB technique for image steganography. In this technique we introduced the idea of storing a different number of bits per channel (R, G or B) of a pixel based on the frequency of color values of pixel. The higher color frequency retains the maximum number of bits and lower color frequency stores the minimum number of bits.

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