Upsampling an Image using Interpolation Techniques There are a number of techniques that can be used to upsample an image. In this assignment, you are expected to implement Interpolation methods (such as Lagrangian Interpolation, Divided Difference, etc.) for three different images and compare the results. Example Code Python: orgImage = cv2.imread("dene.png") w, h, d = orgImage.shape xResized = int(w * scale); yResized = int(h * scale); .... cv2.imwrite("resizedImage.png", resizedImage) Example Code Matlab: I = imread('pen.png'); figure; imshow(I); [w, h, d ]= size(I) R = I(:,:,1); G = I(:,:,2); B = I(:,:,3); %for cubic spline write findcoefficients method [ax,bx,cx,dx ] = findCoefficients(R); [ay,by,cy,dy ] = findCoefficients(G); [az,bz,cz,dz ] = findCoefficients(B); .... R_new = ax(i)*i_d.^3 + bx(i)*i_d.^2 + cx(i)*i_d + dx(i); G_new = ay(i)*i_d.^3 + by(i)*i_d.^2 + cy(i)*i_d + dy(i); B_new = az(i)*i_d.^3 + bz(i)*i_d.^2 + cz(i)*i_d + dz(i);

Upsampling an Image using Interpolation Techniques There are a number of techniques that can be used to upsample an image. In this assignment, you are expected to implement Interpolation methods (such as Lagrangian Interpolation, Divided Difference, etc.) for three different images and compare the results. Example Code Python: orgImage = cv2.imread("dene.png") w, h, d = orgImage.shape xResized = int(w * scale); yResized = int(h * scale); .... cv2.imwrite("resizedImage.png", resizedImage) Example Code Matlab: I = imread('pen.png'); figure; imshow(I); [w, h, d ]= size(I) R = I(:,:,1); G = I(:,:,2); B = I(:,:,3); %for cubic spline write findcoefficients method [ax,bx,cx,dx ] = findCoefficients(R); [ay,by,cy,dy ] = findCoefficients(G); [az,bz,cz,dz ] = findCoefficients(B); .... R_new = ax(i)i_d.^3 + bx(i)i_d.^2 + cx(i)i_d + dx(i); G_new = ay(i)i_d.^3 + by(i)i_d.^2 + cy(i)i_d + dy(i); B_new = az(i)i_d.^3 + bz(i)i_d.^2 + cz(i)*i_d + dz(i);

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter7: Input/output Technology

Section: Chapter Questions

Problem 26VE

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Project 1: Upsampling an Image using Interpolation TechniquesThere are a number of techniques that can be used to upsample an image.In this assignment, you are expected to implement three Interpolation methods (such as Lagrangian Interpolation, Cubic spline, Divided Difference, etc.) for three different images and compare the results. Example Code Python: orgImage = cv2.imread("dene.png")w, h, d = orgImage.shapexResized = int(w * scale);yResized = int(h * scale);....cv2.imwrite("resizedImage.png", resizedImage) Example Code Matlab:I = imread('pen.png');figure;imshow(I); [w, h, d ]= size(I)R = I(:,:,1);G = I(:,:,2);B = I(:,:,3); %for cubic spline write findcoefficients method[ax,bx,cx,dx ] = findCoefficients(R);[ay,by,cy,dy ] = findCoefficients(G);[az,bz,cz,dz ] = findCoefficients(B); ....R_new = ax(i)*i_d.^3 + bx(i)*i_d.^2 + cx(i)*i_d + dx(i);G_new = ay(i)*i_d.^3 + by(i)*i_d.^2 + cy(i)*i_d + dy(i);B_new = az(i)*i_d.^3 + bz(i)*i_d.^2 + cz(i)*i_d + dz(i);
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