CoE 3SK3 Course Project 2. Image Interpolation. Due date: April 9, 2010. When
displaying low-resolution images on high-resolution monitors, for example, ...
CoE 3SK3 Course Project. February 21, 2010. When displaying a digital image
on a monitor, the gray level x of a pixel is mapped to an output intensity level y on
...
CoE 3SK3 Course Project Part I. Image Interpolation. Due date: March 8, 2013.
When displaying low-resolution images on high-resolution monitors, for example,
...
CoE 3SK3 Course Project. Image Interpolation. Phase II. Due date: April 8, 2013.
Phase II of the course project is for you to explore further on the topic of image ...
Jul 3, 1998 - we want to construct a function interpolating these data. ... If we want a smooth e.g. Lipschitz interpolant of points and curves, the most invariant ..... the above definition, if it defines uniquely u, immediately implies the stabilit
CoE 3SK3 Computer-Aided Engineering. Midterm 2006. McMaster University
ECE Department. T. Kirubarajan ([email protected]). February 28, 2006. 1.
CoE 3SK3 Assignment 2. 1. Which of these are representable machine numbers
in standard IEEE 32-bit binary format: (a) −1.01 × 10200, (b) 127.00125, ...
Jeong-Ho Shina, Joon-Ki Paika, Jeffery R. Priceb, and Mongi A. Abidib. aDepartment of Image Engineering,. Graduate School of Advanced Imaging Science, ...
Feb 9, 2012 - H ¨OLDERIAN REGULARITY-BASED IMAGE INTERPOLATION. Jacques Levy-Vehel. Pierrick Legrand. COMPLEX Team, INRIA Rocquencourt ...
CoE 3SK3 Assignment 2. 1. Problem 13.7 in Chapra and Canale. 2. Problem
14.7 in Chapra and Canale. 3. Problem 14.8 in Chapra and Canale. 4. Problem ...
CoE 3SK3 Pro ject 1. It is desired to estimate the motion of a mobile phone user
using a sequence of angle-only measurements, which give only the ...
CS577/EE537 Advanced Computer Networks. Fall 2013. 1. COURSE ... For this
type of project to be acceptable the final report must demonstrate that the ...
CS577/EE537 Advanced Computer Networks. Fall 2011. 1. COURSE ... For this
type of project to be acceptable the final report must demonstrate that the ...
Answer for assignment 2 (3SK3). (a). 0. 0. 2. 1. ( , ). [cos. (. )] 2 x x. E k c x kx c dx.
+Δ. −Δ. = −. +. Δ. ∫. 0. 0. 0. 0. 1. (cos. ) 0. 1. (cos. ) 0 x x x x. E x kx c xdx k. E.
Aug 23, 2017 - via a natural integration of piecewise 2-D autoregressive modeling and block .... step to learn the time-varying parameters in PDEs via optimal control, where the ... penalty functions in the image regularization term are trainable. Th
May 5, 2014 - architecture have been analyzed and compared. They are bilinear, winscale, bi-cubic, linear convolution, extended linear, piecewise linear ...
artifact free upscaled images with a low computational complexity did not emerge ... method achieving good scores, a feature that is also extremely important for ..... agreement available at the web page http://morguefile.com/archive/terms.php.
cal gradient features of an image in the interpolation processing. Experimental results show that the pro- posed method can obtain high accuracy interpolated.
Keywords: Image interpolation, data fusion, steerable filter, regularization, resolution ... restore the original high-resolution image by using the conventional ...
World of Computer Science and Information Technology Journal (WCSIT). ISSN: 2221-0741. Vol. ... Management Information Systems Department. Irbid National ... into account both the distance and the degree of variation between known ...
magnification is a conversion process from a low resolution image to a high ... lot of practical image magnification methods which have their own ... method is interpolation method. ..... someone pays more attention to speed and good visual effect, t
Department of Electrical Engineering. Arizona State ... 2Department of Computer Science, University of Texas ... medical image reconstruction, to online image viewing to name a few. Image ...... Dr. Ping-Sing Tsai received his BS degree in.
CoE 3SK3 Course Project. Image Interpolation. Due date: April 1, 2011. When
displaying low-resolution images on high-resolution monitors, for example, ...
CoE 3SK3 Course Project Image Interpolation Due date: April 1, 2011. When displaying low‐resolution images on high‐resolution monitors, for example, watching standard definition TV programs on high definition TV sets, the viewers or players have to interpolate the missing pixels as illustrated by the following figure. In the figure, the yellow dots are the pixels of the low‐resolution image and the white dots are the missing pixels to be interpolated. (a) Derive the bicubic interpolation algorithm that is described by the following formula: 3
3
f ( x, y ) = ∑∑ ai , j x i y j
i =0 j =0
where ai , j are the coefficients of the bi‐cubic interpolation function. The two‐dimensional function f ( x, y ) interpolates the low‐resolution pixels, and it is used to generate the missing pixels. (b) Generalize cubic splines of Section 18.6.3 (p. 515, textbook ed. 6) from one dimension to two dimensions for the application of image interpolation. (c) Implement the image interpolation algorithms derived in (a) and (b) (either in C or in Matlab). Your programs need to read an image, perform image interpolation, and then display the interpolated image. (d) Image interpolation algorithms are also useful to resample digital images at arbitrary positions (non‐integer grid points). Apply the two interpolation algorithms of (a) and (b) to perform image rotation by an arbitrary angle.
(e) Compare the algorithms of (a) and (b) in interpolation precision. We will give you both the high‐resolution (ground truth) and low‐resolution versions of test images. (f) Make your implementations as efficient as possible. What is the average number of operations needed to interpolate a missing pixel for algorithm (a) and algorithm (b)? (g) (option) Make your implementations applicable to arbitrary scaling factors.
