An image watermarking framework based on PSO and FrQWT

Abstract

This paper primarily explored the usefulness of singular value decomposition for the image watermarking in pursuit of overcoming its typically experienced issues. For this intention, an efficient watermarking scheme optimized by particle swarm optimization (PSO) is designed based on magic-matrix scrambling method and fractional quaternion wavelet transform (FrQWT). The central idea is to shuffle all picture elements of the watermark using magic-matrix scrambling method followed by its insertion into the fruit amplitude coefficients smartly. Another beauty of the designed proficiency is the usage of PSO algorithm to naturally optimize the parameters involved in watermarking strategy. Finally, the sturdyness of the designed watermarking algorithm is investigated against numerous intentional and unintentional attacks.

Subject Classification:

• 68M25 (Computer security)

Keywords:

• Image watermarking
• Magic square matrix
• PSO
• SVD
• FrQWT