Homework 6 - Super Sampling and Bilinear Interpolation

Overview

This project was designed to explore techniques that can be used to enhance the appearance of image warping results including Bilinear Interpolation and Super-Sampling.

Super-Sampling Using Filt Files

 For this project, I used a novel method to perform super-sampling that calculates the number and weight of the subpixel points based on a user-specified .filt file similar to the ones used in Assignment 4, Convolution Filtering.  

The number of sub-pixel sampling points is then equal to kernelSize².

Sines Original

Sines with Warp Only

Supersampling and Billinear interpolation
Box Filter - 9 Sample Points

Supersampling and Billinear interpolation
Box Filter - 81 Sample Points

Supersampling and Billinear interpolation
Tent 3 Filter - 9 Sample Points

Supersampling and Billinear interpolation
Tent Filter - 25 Sample Points

Supersampling and Billinear interpolation
Bell Filter - 81 Sample Points

 

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Other Fun Results

The ability to specify a custom .filt file can produce interesting results when the filt files are not originally intended to blur the image. 

Sobel Horizontal

Sobel Vertical