@article{MAKHILLJEAS2020151219328,
    title = {Analysis and Implementation of Steganography on Tiff Image using Bit-Plane Complexity
Segmentation (BPCS) and Spread Spectrum Method},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {12},
    pages = {2529-2535},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.2529.2535},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.2529.2535},
    author = {Latifah,Tito and},
    keywords = {Steganography,TIFF,BPCS,Spread Spectrum,MSE},
    abstract = {Nowadays, with the development of internet
media and applications, that use the Internet is increasing
also a crime in information systems. Information security
becomes very important in human life as a social being.
Much confidential information such as personal data,
financial data and even state secrets that need to be
protected, so that, it cannot be misused by others who are
not authorized to do so. One technique to maintain
information security is by using steganography technique.
Steganography is a technique where messages can be
hidden by certain methods. Steganography on the image
is the development of science from steganography. In this
final project will explain about the development of
steganography application on TIFF (Tagged Image File
Format) digital image using Bit-Plane Complexity
Segmentation (BPCS) method which utilizes the human
vision characteristic that cannot see the change of binary
pattern that happened in the picture and spread spectrum
in message randomization. The final part of this final
project is to calculate the parameters commonly used as
an indicator to measure the similarity of two images,
namely the Mean Square Error (MSE) and Peak Signal to
Noise Ratio (PSNR) value, resulting in the quality of the
digital image file that has been inserted the message did
not undergo any significant changes and the data residing
in the digital image could be re-extracted.}
    }