PPT-Digital Image Forgery Detection

Ales Zita Publication Digital Image Forgery Detection Based on Lens and Sensor Aberration Authors Ido Yerushalmy Hagit HelOr Dept of Computer Science University of Haifa Israel. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. Forgery – First Step. Ascertain whose name is forged:. Maker of note. Payee (indorser). Drawer. Different rules apply based on identity/status of person whose name is forged.. Forged Maker’s Signature on Note. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. 2011/12/08. Robot Detection. Robot Detection. Better Localization and Tracking. No Collisions with others. Goal. Robust . Robot . Detection. Long . Range. Short. . Range. Long Range. C. urrent . M. ethod. Processing & Machine Vision. By:. Dr. Rajeev Srivastava. Associate Professor, CSE, IIT(BHU), Varanasi. Fundamentals of . Digital Image Processing. • Applications of image processing. • What's an image?. Source: D. Lowe, L. Fei-Fei. Canny edge detector. Filter image with x, y derivatives of Gaussian . Find magnitude and orientation of gradient. Non-maximum suppression:. Thin multi-pixel wide “ridges” down to single pixel width. ECE 480 Technical Lecture. Team 4. Bryan Blancke. Mark Heller. Jeremy Martin. Daniel Kim. . Colors represent nature of change (. e.g. ., more or less greenness, . etc.. ). USGS Image. 2011 Minimum. 2011 Sea ice extent. NASA Video. Change Detection in Remote Sensing. Using multi-temporal satellite imagery to measure change. Prof. David . Singer . Dept. of . Mathematics. Case Western Reserve . University. Cryptographic Services. Privacy (encryption) – You can’t see it. Integrity (signing) – You can’t change it. Digital Signatures. Monitor Bridge Behavior and Condition . Prepared by the University of New Hampshire . Department . of Civil Engineering for the . New . Hampshire Department of Transportation . How to you measure the structural health of a bridge?. OUTLINE. PIXEL BASED. FORMAT BASED. CAMERA BASED. PHYSICS BASED. GEOMETRIC BASED. PIXEL BASED METHODS: CLONING. Discrete Cosine Transform. Principle Component Analysis. PIXEL BASED METHODS: OTHER. Resampling. Fig.1: Retinal image Different techniques are given in literature for macula detection. In [6], macula is detected using morphological properties of eye. [7] Presents the methodology to detect macula Image Types. All images can be thought of as “color” images since even black and white are colors. More commonly we distinguish between three types of images:. Color: an image containing any color. Applications. 报告人：程明明. 南开大学、计算机与控制工程学. 院. http://mmcheng.net/. Contents. Global . contrast based salient region . detection. ,. PAMI 2014. BING: Binarized Normed Gradients for Objectness Estimation at .