Home|Journals|Articles by Year|Audio Abstracts RSS - TOC

Research Article

. 2021; 9(1): 10-14

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



The idea of text-in-image steganography is to embed the confidential text data into an image and to produce a high quality of stego image. Nowadays the stego image generated from text-in-image steganography process has been used majorly in surveillance and remote sensing applications. It plays a crucial role in improving security and remote sensing applications. This paper is introducing a text-in- image steganography framework. In this algorithm, a unique hiding rule is constructed by using huffman codng, curve-let transform and RPE techniques. The huffman coding technique helps to generate the "ciphertext" from the confidential data. The curve-let transform is used to generate the “detailed” and “approximation” coefficients. The hiding of confidential data in "detail" coefficient is done with using RPE technique. Stego image reconstruction is done with using inverse curve-let transform. The proposed framework has produced superior results in terms of metric values, visual quality and payload capacity.

Key words: Huffman coding, Steganography, Curve-let coefficients, cryptography, Stego image

Full-text options

Share this Article

Online Article Submission
• ejmanager.com
• ojshosting.net

Review(er)s Central
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.