Pixel-Wise Tamper Detection Under Generic Blur/Sharpen Attacks

Abstract

In this paper robust image authentication integrated with semi-fragile pixel-wise tamper localization is analyzed. A new pixel-wise transformation robust to blurring/sharpening while fragile to all other image processing operations is proposed. A new method featuring binary and percentage measures with novel ability to integrate human opinion for image authenticity evaluation is presented. Protection for all bits in the pixel is advantage as well as small size of the signature -less than 10% of initial image.

A Normalized Parameter for Similarity/Dissimilarity Characterization of Sequences

“…Distance and similarity measures between data and patterns are the key elements in a variety of applications in different fields, including classification and clustering (Finch, 2005;Stanujkic et al, 2013), signal analysis, image analysis and retrieval (Androutsos et al, 1998;Baušys and Kriukovas, 2012;Berman and Shapiro, 1997), speech recognition (Akila and Chandra, 2013; Lileikytė and Telksnys, 2013), time series analysis (Vlachos et al, 2003;Ding et al, 2008), probability density functions (Cha, 2007). Comprehensive surveys of various distance measures are included in Eiter and Mannila (1997), Monev (2004), Cha (2007Cha ( , 2008, Seung-Seok et al (2010).…”