'Image interpolation' presentation slideshows

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals. HVS cannot operate over 10 ^ 10 orders of magnitude dynamic range simultaneously Total range of distinct intensity levels eye can discriminate simultaneously is small

935 views • 70 slides

Chapter 2: Digital Image Fundamentals

Chapter 2: Digital Image Fundamentals. HVS cannot operate over 10 ^ 10 orders of magnitude dynamic range simultaneously Total range of distinct intensity levels eye can discriminate simultaneously is small

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Parallel Image Processing

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Image Interpolation

Image Interpolation. Introduction What is image interpolation? Why do we need it? Interpolation Techniques 1D zero-order, first-order, third-order 2D zero-order, first-order, third-order Directional interpolation* Interpolation Applications Digital zooming (resolution enhancement)

2.98k views • 46 slides

Image 2

Image 2. Subject : T0934 / Multimedia Programming Foundation Session : 5 Tahun : 2009 Versi : 1/0. Learning Outcomes. In the end of this session, students must be able to: Understand the basic principal of image transformation and enhancement

509 views • 32 slides

On the Role of Localized Relationships in Image Interpolation and CCD Demosaicing

On the Role of Localized Relationships in Image Interpolation and CCD Demosaicing. RONEN SHER and MOSHE PORAT. Agenda. Image Interpolation Methods Image Regions B&W Method Algorithm Results Conclusions 1D Signal Method CCD Demosaicing Structure Components correlation

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Digital Image Processing CCS331

Digital Image Processing CCS331. Interpolation and Resampling. Summery of previous lecture. Calibration of the camera Extracting the 3D point from 2 images which is also known as stereo images Stereo correspondence problem complexity. Todays lecture.

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Outline

Outline. Announcement Homework #1 Local operations (continued) Geometric operations Linear filters. Announcement. Homework #1. Geometric Operations. Geometric operations change the spatial relationships among the objects in an image

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Variational Bayesian Image Processing on Stochastic Factor Graphs

Variational Bayesian Image Processing on Stochastic Factor Graphs. Xin Li Lane Dept. of CSEE West Virginia University. Outline. Statistical modeling of natural images From old-fashioned local models to newly-proposed nonlocal models Factor graph based image modeling

311 views • 18 slides

Image Interpolator

Image Interpolator. Supervisor By : Dr. Rajeev Srivastava Prashant Bhutani Associate Professor CSE, IIT-BHU . Abstract. Image interpolation is the process of resizing or remapping an image.

311 views • 17 slides

Instructor: Lichuan Gui lichuan-gui@uiowa lcgui

Students are encouraged to attend the class. You may not be able to understand by just reading the lecture notes. Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL. Instructor: Lichuan Gui

278 views • 17 slides

Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation

Xiangjun Zhang and Xiaolin Wu , Senior Member, IEEE. Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation. I. Introdution. low-resolution (LR) image high-resolution (HR) image. II. PAR Model. piecewise autoregressive (PAR) model. III. SAI Algorithm.

314 views • 11 slides

Image Interpolation by Vishal Parikh and Joyce Pan

Image Interpolation by Vishal Parikh and Joyce Pan. Problem Definition Importance Assumptions Made. Previous Work. Block-based Motion Estimation Mesh-based Motion Estimation. Our work:. Step 1: Foreground/background separation. Our work:. Step 2: Motion vector generation. Our work:.

199 views • 6 slides

Kronecker Products-based Regularized Image Interpolation Techniques

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Algorithm

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