Bio: Gurjeet Kaur is an academic researcher from Chandigarh University. The author has contributed to research in topics: Steganography & Encryption. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.
••01 Jul 2018
TL;DR: A new watermarking technique combined with RSA and fractal image coding for the purpose of image security and high image quality is proposed, with the help of which it is tried to overcome the drawbacks of previous water marking techniques.
Abstract: With the rapid enhancement of internet the digital multimedia such as images, audio, video are easily reproduced and distributed. The main issue of securing the data and information is born from the dependency upon the encoding and steganography individually. Because of that, the hidden secret messages can be easily broken and contents are detected. The image watermarking is the method of embedding hidden data into original image for the purpose of security. In this paper, we have purposed a new watermarking technique combined with RSA and fractal image coding for the purpose of image security and high image quality, with the help of which we have tried to overcome the drawbacks of previous watermarking techniques. In this new technique the information or the watermark is encoded using RSA and the encoded image is hidden into the fractal codes of an image. Experimental results show that the proposed algorithm enhances the security against attacks such as cutting, random noise attack and JPEG compression and provide high quality of image. Results of proposed method are better as compared to results of fractal image watermarking that are measuring by parameters such PSNR, BER and MSE.
TL;DR: In this paper , a generalized fusion fractal structure is proposed by combining two one-dimensional fractals as seed functions from a larger spectrum of fractal functions, and a novel image encryption algorithm based on the new fractal function is proposed which utilizes a generated pseudo-random number (PRN) sequence as secret key.
07 Sep 2021
TL;DR: In this paper, a new medical image encryption/decryption algorithm was proposed based on three main parts: the Jigsaw transform, Langton's ant, and a novel way to add deterministic noise.
Abstract: In this work, a new medical image encryption/decryption algorithm was proposed. It is based on three main parts: the Jigsaw transform, Langton’s ant, and a novel way to add deterministic noise. The Jigsaw transform was used to hide visual information effectively, whereas Langton’s ant and the deterministic noise algorithm give a reliable and secure approach. As a case study, the proposal was applied to high-resolution retinal fundus images, where a zero mean square error was obtained between the original and decrypted image. The method performance has been proven through several testing methods, such as statistical analysis (histograms and correlation distributions), entropy computation, keyspace assessment, robustness to differential attack, and key sensitivity analysis, showing in each one a high security level. In addition, the method was compared against other works showing a competitive performance and highlighting with a large keyspace (>1×101,134,190.38). Besides, the method has demonstrated adequate handling of high-resolution images, obtaining entropy values between 7.999988 and 7.999989, an average Number of Pixel Change Rate (NPCR) of 99.5796%±0.000674, and a mean Uniform Average Change Intensity (UACI) of 33.4469%±0.00229. In addition, when there is a small change in the key, the method does not give additional information to decrypt the image.