抽象的

High Embedding Capacity and Secured Steganographic Model by Using RS based Genetic Algorithm and IWT

Dinesh Kumar and Narendra Yadav

The proposed system presents a novel approach of building a secure data hiding technique of Steganography using inverse wavelet transform along with Genetic algorithm. The prominent focus of the proposed work is to develop RS-analysis proof design with highest imperceptibility. Optimal Pixel Adjustment process is also adopted to minimize the difference error between the input cover image and the embedded-image and in order to maximize the hiding capacity with low distortions respectively. The analysis is done for mapping function, PSNR, image histogram, and parameters of RS analysis. The simulation results highlights that the proposed security measure basically gives better and optimal results in comparison to prior research work conducted using wavelets and genetic algorithm.

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化学文摘社 (CAS)
谷歌学术
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学术钥匙
研究圣经
全球影响因子 (GIF)
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宇宙IF
电子期刊图书馆
参考搜索
哈姆达大学
世界科学期刊目录
印度科学网
学者指导
普布隆斯
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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