PPT-CS654: Digital Image Analysis

Lecture 11 Image Transforms Recap of Lecture 10 BSpline curve Constant Linear Quadratic Cubic interpolation Nearest neighbour BiLinear BiCubic interpolation Outline of Lecture 11 Image transforms. Our vision is to empower our users the way technology was meant to be used.  Wolverine Data products empower our customers to effortlessly safeguard and expand data storage.  Our focus is to simplify how people can backup, capture and share critical information, treasured movies, photographs and music.  Lightning-fast connectivity and sleek, rugged design enable mobility among office and portable computers, and ensure dazzling presentations. This controller is specifically engineered to run a standalone CDDVDBluray duplicator without additional computer or processing unit With a simple fourbutton interface and a LCD screen to display menu commands and realt ime status our CDDVDBluray Du Lecture 21: Image Restoration. Recap of Phase 1. Image: acquisition, digitization. Geometric Transformations: Interpolation techniques. Image Transforms (spatial to frequency domain). Image Enhancement (spatial and frequency domain). By: . Georg Petschnigg Maneesh Agrawala Hugues Hoppe Richard Szeliski. Michael Cohen Kentaro Toyama,. Microsoft Corporation. Presented by. : Yael Amsterdamer. Advanced Topics in Visual Computing, Spring 2012. ELE 488 Final Project, Fall 2011. Princeton University. Ali JavadiAbhari. Watermarking. Why?. Fingerprinting (tracking). Indexing (search engines). Copyright protection and owner identification. Data hiding . Lecture 7. : Camera Model and Imaging . Geometry. Recap of lecture 6. Basic mathematical transformation. Translation, Rotation, Scaling. Transformation about origin and arbitrary point. Transformation in 2D and 3D. Lecture 28: Advanced topics in Image Segmentation. Image courtesy: IEEE, IJCV. Recap of Lecture 27. Clustering based Image segmentation. Mean Shift. Kernel density estimation. Application of Mean shift: Filtering, Clustering, Segmentation. 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?. take notes in your journal. Monitors. Small LCD displays built into most cameras. Menus are displayed on monitor. Compose your . image on a monitor. Review images on the monitor. Drains battery when monitor is on. 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?. 2. Chapter Contents. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. Chapter 8: Digital Media. 2. Chapter Contents. Section A: Digital Sound. Section B: Bitmap Graphics. Section C: Vector and 3-D Graphics. Section D: Digital Video. Section E: Digital Rights Management. FastPoll True/False Questions. 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. Ales . Zita. Publication. Digital Image Forgery Detection Based on Lens and Sensor Aberration. Authors. . : . Ido. . Yerushalmy. , . Hagit. Hel-Or. . Dept. of Computer Science, University of Haifa, Israel.