Text in Image Hiding using Developed LSB and  Random Method

Abbood, Elaf Ali; Neamah, Rusul Mohammed; Abdulkadhm, Shaymaa

doi:10.11591/ijece.v8i4.pp2091-2097

Cited by 18 publications

(14 citation statements)

References 8 publications

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“…In the channel of information, the noise is any degradation in the image signal caused by external disturbance such as: Wireless transmission, Satellite transmission and Network cable transmission [21][22][23]. Therefore, filtering of an image corrupted by noise is a significant area of image restoration [23][24][25] and depending on the type of disturbance in the signal [25][26][27][28]. For testing the proposed system against different types of noise (white noise, salt and pepper noise.)…”

Section: Key Space and Sensitivitymentioning

confidence: 99%

Robust large image steganography using LSB algorithm and 5D hyper-chaotic system

2021

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This paper contains a robust hiding system proposed to hide and reconstruct efficiently a large size secret image based on merging encrypting and hiding. This approach deals with a video utilized as a cover of frames to hide the blocks of large image inside it. Frames are selected according to 5D hyperchaotic algorithms and consequently change value of the pixel in the original image depends on it. Secret image will divide into many blocks and hide each block in one frame selected by 5D chaotic. This method will support and enhance the techniques of information security with less time and morecapacity of transmission. The results obtained are analyzed under criteria including: Peak signal to noise ratio, Mean square error, key space and sensitivity, correlation coefficient and capacity of hiding. The results demonstrate both of the secret color image and cover video, where retaining its explicitness and properties after reconstruction in the receiver. However, the results prove stability and reliability of the proposed system under several conditions and can avoid attacks.

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Section: Key Space and Sensitivitymentioning

confidence: 99%

Robust large image steganography using LSB algorithm and 5D hyper-chaotic system

2021

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“…The hybrid combination of Modified LSB and image segmentation is used before embedding the secret images randomly. Similarly, Abbood et al [13] presented the Developed LSB and random technique for text in image hiding. The secret text is hidden in the cover image using the random method and use the hash function to hide the secret text in a selected column to generate the stegano image.…”

Section: Related Workmentioning

confidence: 99%

“…The digital watermarking application using image steganography is presented in Chandran et al [20] using different approaches like Discrete Cosine Transform (DCT), DWT, and LSB methods. Most of the recent image steganography articles from [9][10][11][12][13][14][15][16][17][18][19][20] are software-based approaches. Almutairi et al [21] presented the hardware-based steganography using secured LSB method with security, and similarly, the hybrid approach using Haar DWT and Modified LSB method for steganography is made by Simha et al [22] on a hardware platform.…”

Section: Related Workmentioning

confidence: 99%

Design of an Efficient Steganography Model using Lifting based DWT and Modified-LSB Method on FPGA

Mahesh¹,

K.B²

2019

IJACSA

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The data transmission with information hiding is a challenging task in today world. To protect the secret data or image from attackers, the steganography techniques are essential. The steganography is a process of hiding the information from one channel to another in data communication. In this research work, Design of an Efficient Steganography Model using Lifting Based DWT and Modified-LSB Method on FPGA is proposed. The stegano module includes DWT (Discrete Wavelet Transformation) with lifting scheme for the cover image and encryption with Bit mapping for a secret image, an embedded module using Modified Least Significant Bit (MLSB) Method, and Inverse DWT to generate the stegano image. The recovery module includes DWT, decoding module with pixel extraction and bit retrievals, and decryption to generate the recovered secret image. The steganography model is designed using Verilog-HDL on Xilinx platform and implemented with Artix-7 Field Programmable Gate Array (FPGA). The hardware resource constraints like Area, time, and power utilization of the proposed model results are tabulated. The performance analysis of the work is evaluated using Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) Ratio for a different cover and secret images with better quality. The proposed steganography model operates at high speed, which improves communication performance.

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“…In image steganography, a possibility to prevent a hidden message from being discovered by statistical steganalysis is the most important requirement [1]. Consequently, there are many image steganography methods (such as [2][3][4]) are developed to transfer valuable data in a secure way. Block based data hiding [5][6][7][8][9][10][11] and channel selection rule [1,[12][13][14] are two effective image steganography approaches for minimizing distortions to the cover images.…”

Section: Introductionmentioning

confidence: 99%

A secure image steganography based on JND model

Nguyen

2020

IJECE

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Minimizing distortion produced by embedding process is very important to improve the security of hidden message and maintain the high visual quality of stego images. To achieve these objectives, an effective strategy is to perform pixel selection which is well-known as a channel selection rule. In this approach, a pixel associated with the smallest image degradation is chosen to carry secret bits. From these facts, in this paper, a new secure channel selection rule for digital images in spatial domain is designed and proposed. In this new approach, the modified matrix embedding method is utilized as data hiding method because it introduces more than one embedding change to be performed. This enables us to select a suitable pixel to embed message bits with less degradation yielded in a stego-image. In pixel selection of the proposed method, a just noticeable difference value and gradient value of a considering pixel are employed together. The experimental results (which were conducted on 10,000 uncompressed images) indicate that stego images of the proposed approach achieve a higher perceptual quality and security than those of the stego-images created by the previous approaches.

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Text in Image Hiding using Developed LSB and Random Method

Cited by 18 publications

References 8 publications

Robust large image steganography using LSB algorithm and 5D hyper-chaotic system

Robust large image steganography using LSB algorithm and 5D hyper-chaotic system

Design of an Efficient Steganography Model using Lifting based DWT and Modified-LSB Method on FPGA

A secure image steganography based on JND model

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