Secured and Quality-Optimized Image Steganography using K-LSB and AES with RGHS Enhancement

Image steganography is the process of hiding a message under a cover image. The main objective is to hide the secret text or image into an image by using k- Least Significant Bit (LSB) algorithm, improvise the visual quality by using Relative Global Histogram Stretching (RGHS) based on adaptive parameter acquisition. The secret message is protected and secured using the Advanced Encryption Standard (AES) method. The data is encrypted using pseudo-randomly generated keys to further improve security. Efficiency of the algorithm is estimated by Peak Signal to Noise Ratio (PSNR), where higher PSNR value gives the higher quality image.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.38124/ijisrt/25may1862
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
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article

Secured and Quality-Optimized Image Steganography using K-LSB and AES with RGHS Enhancement

Sravan Kumar Reddy M
Advanced Steganography and Watermarking Techniques
article

Secured and Quality-Optimized Image Steganography using K-LSB and AES with RGHS Enhancement

Sravan Kumar Reddy M
article en

Abstract

Image steganography is the process of hiding a message under a cover image. The main objective is to hide the secret text or image into an image by using k- Least Significant Bit (LSB) algorithm, improvise the visual quality by using Relative Global Histogram Stretching (RGHS) based on adaptive parameter acquisition. The secret message is protected and secured using the Advanced Encryption Standard (AES) method. The data is encrypted using pseudo-randomly generated keys to further improve security. Efficiency of the algorithm is estimated by Peak Signal to Noise Ratio (PSNR), where higher PSNR value gives the higher quality image.

Openalex Percentile: Top 90%
Advanced Steganography and Watermarking Techniques
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Secured and Quality-Optimized Image Steganography using K-LSB and AES with RGHS Enhancement — Sravan Kumar Reddy M · (2025) | TGRS Research Map | TGRS