A Novel Steganography Algorithm for Hiding Text in Image using Five Modulus Method

TL;DR

This paper introduces a new steganography algorithm called ST-FMM that hides text in grayscale images by transforming pixels into multiples of five and embedding secret data as non-multiples, maintaining image size and achieving high PSNR.

Contribution

The novel ST-FMM algorithm effectively hides text in images using the Five Modulus Method, preserving image size and ensuring high image quality.

Findings

High PSNR values indicate minimal image distortion.

The algorithm maintains cover image size regardless of message length.

Efficient hiding of data with high image quality.

Abstract

The needs for steganographic techniques for hiding secret message inside images have been arise. This paper is to create a practical steganographic implementation to hide text inside grey scale images. The secret message is hidden inside the cover image using Five Modulus Method. The novel algorithm is called (ST-FMM. FMM which consists of transforming all the pixels within the 5X5 window size into its corresponding multiples of 5. After that, the secret message is hidden inside the 5X5 window as a non-multiples of 5. Since the modulus of non-multiples of 5 are 1,2,3 and 4, therefore; if the reminder is one of these, then this pixel represents a secret character. The secret key that has to be sent is the window size. The main advantage of this novel algorithm is to keep the size of the cover image constant while the secret message increased in size. Peak signal-to-noise ratio is captured for each of the images tested. Based on the PSNR value of each images, the stego image has high PSNR value. Hence this new steganography algorithm is very efficient to hide the data inside the image.