Robust image hashing based on structural and perceptual features for authentication of color images
Muhammad Farhan Khan, Syed Muhammad G. Monir, Imran Naseem · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · 2020
Image hashing is one of the most celebrated techniques regarding the discipline of image forensics, imageretrieval, image indexing, content verification, and zero watermarking. For such sensitive and complex problems,generation of a unique and robust image hash is an utmost prerequisite for an image identifier driven from the perceptualcontents of an image. As a design perspective, it is essential for an image hash to have robustness and optimizeddiscriminative capability. We propose a robust image hashing technique by acquiring perceptual features based on anovel distance magnitude profile utilizing color pixel incongruity among the contiguous pixels, as well as producing astructural image for discrimination. The combination of both results provide a state-of-the-art robust profile that hase?icient discriminative capacity and is impervious to usual signal processing violations.