A LSB Substitution Oriented Image Hiding Strategy Using Genetic Algorithms

Wu, Ming-Ni; Lin, Chia-Chen; Chang, Chin‐Chen

doi:10.1007/978-3-540-30483-8_27

Cited by 18 publications

(12 citation statements)

References 8 publications

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“…In order to find the optimal LSB substitution for pixels within an image, Chang et al proposed another more efficient approach in which the dynamic programming strategy was applied (2003). Afterward, Wu et al proposed two LSB substitution oriented methods which make use of genetic algorithms and substitution matrices (Wu et al, 2004). However, the most efficient and easiest substitution method for image data embedding in spatial domain is the greedy LSB substitution technique.…”

Section: Review Of Related Backgroundmentioning

confidence: 99%

“…In contrast with image steganography, image data embedding or image hiding concentrates upon embedding comparatively larger amounts of image data into another cover medium. Recently, the technique of image data embedding has been widely studied and many researches about data embedding in images have been proposed (Chang, 2003;Chan and Cheng, 2004;Wu, 2004;Wang, 2005). Among these researches, a common technique for image data embedding is based on manipulating the least-significant-bit (LSB) planes of image since the LSB methods typically achieve high embedding capacity.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Secret image transmission based on VQ and data embedding

Shie¹,

Lin²

2007

Int J Imaging Syst Tech

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A new secret image transmission scheme suitable for narrow communication channel is proposed in this article. A set of secret images can be simultaneously and efficiently delivered to the receiver via a small and meaningless data stream by the proposed scheme. To reduce the volume of secret images, a codebook is first generated and these secret images are encoded into binary indexes based on the vector quantization (VQ) technique. The compressed message is then embedded into the VQ codebook utilized in the encoding procedure by an adaptive least-significant-bits (LSB) modification technique. For the purpose of security, the slightly modified codebook is further encrypted into a meaningless data stream by the AES cryptosystem. Simulation results show that the proposed scheme provides an impressive improvement both in the visual quality of the extracted secret images at the receiver and in the hiding capacity of the cover medium. Experimental data also reveal the feasibility of the proposed secret image transmission scheme for limitedbandwidth environment.

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Section: Review Of Related Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Secret image transmission based on VQ and data embedding

Shie¹,

Lin²

2007

Int J Imaging Syst Tech

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“…The fitness function takes into consideration the distortion induced by the watermark insertion. A similar approach is adopted by Wu et al [17] who generates optimal mapping functions for finer regions (blocks) of the host image in order to increase the quality of the watermarked image.…”

Section: Ga-based Watermarking Schemesmentioning

confidence: 99%

Automatic Selection of GA Parameters for Fragile Watermarking

Botta

Cavagnino

Pomponiu

2014

Lecture Notes in Computer Science

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“…One of the popular techniques in data hiding is steganography in which the simple method for image hiding is the Least Significant Bit (LSB) substitution method. Wu et al proposed two image hiding techniques to improve the quality of the stego-image [1]. The first one is to find the best block matching matrix and the other one is to find the optimal substitution matrices.…”

Section: Introductionmentioning

confidence: 99%

“…Wu et al used two approaches to enhance the quality of stego-image and also to increase the hiding capacity of stegoimage [1]. These approaches are called global method and local method.…”

Section: Introductionmentioning

confidence: 99%

Least Significant Bit Image Steganography using Particle Swarm Optimization and Optical Pixel Adjustment

Gerami¹,

Ebrahim²,

Bashardoost³

2012

IJCA

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Data hiding is a method of concealing secret data into a cover media and preventing a spectator from being aware of the existence of the hidden message. According to the problems of steganography, the main effort is to provide a better imperceptibility of stego-image that can be done by decreasing distortion of image. One of the popular techniques in data hiding is steganography in which the simple method for image hiding is the Least Significant Bit (LSB) substitution method. Wu et al. proposed two image hiding techniques to improve the quality of the stego-image [1]. The first one is to find the best block matching matrix and the other one is to find the optimal substitution matrices. The proposed method utilizes particle Swarm optimization (PSO) for finding the best pixel locations, and then the secret image is transformed to a new secret image. Optimal Pixel Adjustment (OPA) method is applied to further increase the quality of image. Results are then compared with those obtained by Simple LSB, Wang's et al. method, Wu's et al. method. The experimental results confirmed that PSNR of the proposed method is higher than mentioned methods which mean the imperceptibility of the image improves. Also the results illustrate that the proposed approach is robust against chi-square attack.

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A LSB Substitution Oriented Image Hiding Strategy Using Genetic Algorithms

Cited by 18 publications

References 8 publications

Secret image transmission based on VQ and data embedding

Secret image transmission based on VQ and data embedding

Automatic Selection of GA Parameters for Fragile Watermarking

Least Significant Bit Image Steganography using Particle Swarm Optimization and Optical Pixel Adjustment

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