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This paper present a literature review on LSB Steganography technique in a spatial domain to highlight their achievement on evolution parameter and their challenges . In this paper compare the embedded method in a spatial domain regarding their embedded capacity ,visual quality, imperceptibility and give general procedures to evaluate these parameters.
Keywords:
LSB Steganography, ANN, Payload, Visual Quality , Imperceptability.
Cite Article:
"LSB - Image Steganography Algorithm Based on Evaluation Parameter using Artificial Neural Network ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 7, page no.32 - 37, July-2021, Available :http://www.ijrti.org/papers/IJRTI2107008.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator