'Pyramid blending' diaporamas de présentation

Pyramid blending - PowerPoint PPT Presentation

CS448f: Image Processing For Photography and Vision

CS448f: Image Processing For Photography and Vision

CS448f: Image Processing For Photography and Vision. Blending and Pyramids. Blending. We’ve aligned our images. What now? Averaging Weighted averaging min/max/median. Noise reduction by Averaging. 2 Shots. 4 Shots. 8 Shots. 16 Shots. Noise Reduction by Averaging.

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644 views • 50 slides
Blending and Compositing

Blending and Compositing

Blending and Compositing. 15-463: Rendering and Image Processing Alexei Efros. Today. Image Compositing Alpha Blending Feathering Pyramid Blending Gradient Blending Seam Finding Reading: Szeliski Tutorial, Section 6 For specific algorithms: Burt & Adelson

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562 views • 49 slides
Recap from Monday

Recap from Monday

Recap from Monday. Frequency domain analytical tool computational shortcut compression tool. Fourier Transform in 2d. in Matlab, check out: imagesc(log(abs(fftshift(fft2(im)))));. Image Blending (Szeliski 9.3.4). Google Street View. CS129: Computational Photography

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381 views • 35 slides
Recall: Gaussian smoothing/sampling

Recall: Gaussian smoothing/sampling

Recall: Gaussian smoothing/sampling. G 1/8. G 1/4. Gaussian 1/2. Solution: filter the image, then subsample Filter size should double for each ½ size reduction. Subsampling with Gaussian smoothing. Gaussian 1/2. G 1/4. G 1/8. Image Pyramids.

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535 views • 32 slides
Image Pyramids

Image Pyramids

Image Pyramids. Computer Vision, winter 2012-13 CS Department, Technion. Topics. The Gaussian Pyramid The Laplacian Pyramid Applications: Pattern Matching Coding (Compression) Enhancement Blending. Gaussian Pyramid. Gaussian Pyramid. Approximation filter is not Gaussian

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1.85k views • 17 slides
Image feathering

Image feathering

Image feathering. Weight each image proportional to its distance from the edge (distance map [Danielsson, CVGIP 1980] 1. Generate weight map for each image 2. Sum up all of the weights and divide by sum: weights sum up to 1: w i ’ = w i / ( ∑ i w i ). Pyramid Blending. Laplacian

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171 views • 5 slides

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