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Data Hiding in Grayscale Images using Least Significant Bit Technique
| Content Provider | Semantic Scholar |
|---|---|
| Author | Thamizharasi, V. |
| Copyright Year | 2019 |
| Abstract | Among all digital file formats available nowadays image files are the most popular cover objects because they are easy to find and have higher degree of distortion tolerance over other types of files with high hiding capacity due to the redundancy of digital information representation of an image data. There are a number of steganographic schemes that hide secret message in an image file; these schemes can be classified according to the format of the cover image or the method of hiding. Steganography attempts to hide the very existence of the message and make communication undetectable. It has many technical challenges such as high hiding capacity and imperceptibility. In this project, a technique for hiding data in digital images by combining the use of adaptive hiding capacity function that hides secret data in the wavelet coefficients of the cover image with the key generation. Least significant bit technique is to increase the security of the hidden data. The proposed system showed high hiding rates with reasonable imperceptibility compared to other steganographic systems. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.ijresm.com/Vol.2_2019/Vol2_Iss2_February19/IJRESM_V2_I2_106.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
