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CS-435: Computational Photography (Winter Quarter)

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CS-435: Computational Photography Winter Quarter

This repo contains implementations of computational photography projects for course work and fun!

Descriptions

Pixel Operations

This project computes various point based pixel operations, such as manually converting an RGB image to binary and grayscale. It also generates a histogram of the pixel intensities and performs contrast stretching on the grayscale image.

High Dynamic Range (HDR)

This project creates an HDR image from a data set of images taken at different exposures. It also tonemaps the HDR image for viewing on SDR displays.

Retargeting (Seam Carving)

This project performs content aware resizing by implementing a dynamic programming algorithm to remove the least significant seams in an image

Classification (K-NN)

This project implements a K-nearest neighbor machine learning algorithm for classifiying images as cars or not cars.

Morphing

This project performs morphing on two images based on a list of corresponding points.

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CS-435: Computational Photography (Winter Quarter)

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