ParQuoSCI: Pseudorandom Partial Quotient Sequences for Content based Image Authentication
Journal Title: Bonfring International Journal of Advances in Image Processing - Year 2015, Vol 5, Issue 2
Abstract
The application of a number theory based pseudorandom sequence called Partial Quotient (PQ) sequence generated from the continued fraction expansion of irrational numbers in a semi fragile watermarking scheme for content based image authentication is considered in this paper. The generated pseudorandom PQ sequence is used to create sub vectors to be used at various instances in the watermarking process. The watermark is derived from the image and is embedded in the higher textured blocks. The watermarked images demonstrate high imperceptibility and make it suitable for use in artistic, medical and military applications where high quality and minimal distortion of the watermarked images is required
Authors and Affiliations
Jayashree Pillai , T. Padma
Keywords
Related Articles
- EP ID EP148142
- DOI 10.9756/BIJAIP.10395
- Views 122
- Downloads 0
Image Fusion Algorithms for Medical Images-A Comparison
This paper presents a comparative study of medical image fusion algorithms along with its performance analysis. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images are used to fuse which form a contempor...
MRI Brain Image Enhancement Using XILINX System Generator and DWT
This paper presents a novel method of enhancing the image quality of human brain obtained from Magnetic Resonance Imaging scans. Here, we are trying to enhance the brain image using Xilinx System Generator, which is a DS...
ParQuoSCI: Pseudorandom Partial Quotient Sequences for Content based Image Authentication
The application of a number theory based pseudorandom sequence called Partial Quotient (PQ) sequence generated from the continued fraction expansion of irrational numbers in a semi fragile watermarking scheme for content...
Efficient Classification of Breast Lesion based on Deep Learning Technique
In this paper, a new method for Classification of Breast Cancer Images using deep Learning Algorithm are proposed. The Classification Algorithm appears as various features extracted from Healthy Breast images and U...