Online ISSN: 2515-8260

Keywords : Image Steganography


Enhanced Color Image Steganography for Recovery of Speed and Capacity in Embedded Images

Manish Kumar; Vishal Goyal

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 506-514

Now a day’s internet is turned into the mechanism for exchanging the delicate data, the safety of the exchanged message become the most extreme need. Image steganography has developed out as the famous technique of data concealing that guarantees the safety of the conveying information. Picture files give high limit, and their recurrence of accessibility over internet is likewise elevated. Present paper, a technique for Color Image coding is recommended so as to hide the data beside a chose pixel and on the following estimation of the chosen pixel, that is, pixel + 1. One bit is covered up at the chose pixel, and the second bit is covered up on the pixel +1 esteem. On the premise of the seventh bit of the pixels of a picture, a numerical capacity is connected at the seventh bit of the pixels, which produces a brief variable (pixel + 1). The seventh bit of the chose pixel and seventh bit of pixel + 1 are utilized for data covering up and withdrawal. Based on a blend of these two qualities, 2 bits of the message is covered up on every pixel subsequent to execution, the effectiveness of the technique is kept an eye based on parameters like PSNR and MSE, and this method is efficient than some previously proposed methods. This proposed picture steganography demonstrated promising, fascinating outcomes when contrasted and other existing strategies.

Implementation of Zig-Zag Coded Steganography for Secured Data Transmission in FPGA

R. M. Joany; E. Logashanmugam; E. Anna Devi; L. Magthelin Therase; S. Yogalakshmi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 5103-5110

Steganography is defined as the knack and science of communicating in a secret way which hides some information on the existence of communication. A steganographic model helps to hide or embed the sender’s secret message in an image known as carrier. For a normal view, it does not give a clue about the existence of a secret message in it. An image can be in any format which is used as a carrier. The sender’s message is covered in this carrier image. The carrier is transmitted in which the message (image) is hidden. In the proposed system Zigzag coded Stenography is introduced. In the proposed scheme the image is first preprocessed using MATLAB software, Image information is converted into the grayscale format and then Binary conversion is done, after applying DCT the image is further split into multiple palettes. The preprocessed data is then provided with the stenographic step with key generation by the VLSI system and then transmitted through the channel. The reverse operation then retrieves the original information by applying IDCT and also removing noise. The proposed Zigzag coded algorithm will have a high embedding rate and embedding payload capacity, less computational complexity and at the same time maintaining the high stego-image quality compared to the existing works.