Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Information security has always been a major concern. As one of the ways to solve the security problem, data hiding technology embeds the secret data imperceptibly into the cover media by slightly modifying some of the cover elements. Traditional data hiding techniques usually introduce irreversible distortion in the cover media which cannot be recovered after secret data extraction. However, the distortion may be not allowed in the medical, military and legal fields. To overcome this problem, paper discusses reversible data hiding in JPEG compressed image as a new solution where both secret data and the original cover media can be extracted and recovered without any distortion. Moreover, data hiding techniques can be applied to other aspects such as embedding patient’s information into medical images and embedding geographic information into remote sensing satellite images. MATLAB standard image of lena will be use for the testing of the proposed work in near future as the same taken by base works the testing lena image of 512x512 size and the data hidden is of 1 Kb. expected PSNR
Keywords:
DWT: Discrete Wavelet Transform, SVD: Singular Value Decomposition, PSNR: Peak Signal to Noise Ratio, MSE: Mean Square Error
Cite Article:
"A Critical Review: Data Hiding Techniques for Image Compression ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 7, page no.86 - 91, July-2020, Available :http://www.ijrti.org/papers/IJRTI2007011.pdf
Downloads:
000204863
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