PDF-Image Quantization Halftoning and DitheringT

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2What is an Image

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Image Quantization Halftoning and DitheringT: Transcript

2What is an Image. Objective Effect of quantization of signals Effect of quantization system Study of law and A law Introduction In digital signal processing quantization is the process of approxim ating a continuous range of values or a very large set of possible dis Lecture 23•Oversampled ADCs–1Bit quantization•Quantization error spectrum•SQNR analysis•Limit cycle oscillations–2order SDDynamic range •Practical implementation Reproducing reality. Display. Images are meant to be viewed. Television screen. Computer monitor. Cell phone display. Newspaper. Glossy magazine. Overhead projector. Display device will be characterized by. . local. image . descriptors. . into. . compact. . codes. Authors. :. Hervé. . Jegou. Florent. . Perroonnin. Matthijs. . Douze. Jorge. . Sánchez. Patrick . Pérez. Cordelia. Schmidt. Presented. CSE 190 [Spring 2015]. , Lecture . 2. Ravi Ramamoorthi. http://. www.cs.ucsd.edu. /~. ravir. Course Outline. 3D Graphics Pipeline. Rendering. (Creating, shading images from geometry, lighting, materials). M. . Barni. , M. Fontani, B. . Tondi. , G. Di . Domenico. Dept. of Information Engineering, University of Siena (IT). Outline. MultiMedia. Forensics & Counter-Forensics. Universal counter-forensics. COMPATIBLE WITH BITPLANE IMAGE CODING. Department of Information and Communications Engineering. Universitat. . Autònoma. de Barcelona, Spain. Francesc . Aulí. -Llinàs. L. H. α. W. TABLE OF CONTENTS. 1. Image. Rich info. from visual data. Examples of images around us. natural photographic images; . . artistic and engineering drawings. scientific images (satellite, medical, etc.). “Motion pictures” => video. Lynne . Grewe. and . Sushmita. . Pandey. California State University East Bay. lynne.grewe@csueastbay.edu. The Goal. Using Social Data to make Social Advertisement Recommendations.. . Lecture . 5. DCT & Wavelets. Tammy . Riklin. Raviv. Electrical and Computer Engineering. Ben-Gurion University of the Negev. Spatial Frequency Analysis. images of naturally occurring scenes or objects (trees, rocks, . Vinay Raj Hampapur. Wendy Ni. Stanford University. March 8, 2011. Outline. Motivation. Description of our method. Results and comparisons. Achievements. Future work. Acknowledgement. References. 2. EE398A: Direction-Adaptive KLT for Image Compression. Department : ECE. Engineered for Tomorrow. Subject Name: . Digital Communication. Subject . Code:10EC61. Prepared By:Pallavi, . Lakshmi. C R. Department: ECE. Date:1/3/15. Unit . 2:Waveform Coding Techniques. Idoia. . Ochoa . and . Nima. . Soltani. . Outline. System overview. Detailed encoder description. Demonstration. Results. Extensions. Conclusions. System Overview (Encoder). R. L. DWT. Quant. Arith. 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.

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