High-performance Quadtree image compression/stylization, 100+FPS on modern computers and avoiding ugly non-squares 💢

Image compression program using quadtrees in python.

An application capable of presenting a view of the QuadTree. Design and development of QuadTree view and data model.

PIL wrapper to draw multiple geometric shapes in a single call

This Full-Stack Application (React and Springboot) was developed with the purpose of allowing a user to choose, run and compare the results of any 2 of our algorithms from our list of completed Tree Compression Algorithms that we have explored and implemented, comparing factors such as time taken and compressed image size and quality.

The programs display an implementation of PR quadtrees in the scenario of house addresses, using recursion to traverse through the tree. IN addition nodes have a dynamic array to store information of places which are located at the same location.

This Full-Stack Application (React and Springboot) was developed with the purpose of allowing a user to choose, run and compare the results of any 2 of our algorithms from our list of completed Tree Compression Algorithms that we have explored and implemented, comparing factors such as time taken and compressed image size and quality.

Incompressible Lagrangian Vortex Method for the Navier Stokes Eq. with refinement transfer

A simple header only C++ library for spatial trees such as quadtrees and octrees.

Image pixelation based on a quadtree

QuadTree image compression in py

Quadtrees are recursive data structures that are efficient at storing data and subsequently looking up said data. Over storage methods such as lists, quadtrees can make a program less resource heavy.

Set of scripts to decompose an image in multiple tiles like Quadtrees, Voronoitrees, etc...

Quadtree implementation (updated for java 8, properly uses generics)

Implementation of Quad Trees for Image Compression. THis project takes a binary-based "image" and encodes it in a Quad Tree.

this is an octree demo on 2d canvas