An implementation of ordered dithering algorithm in python as multimedia course project

Overview

Ordered Dithering

One way of minimizing the size of an image is to simply reduce the number of bits you use to represent each pixel. by default this number is 24 bits for RGB representation. You can reduce this number by quantization and reduce it to 1 bit (black or white).

However this has its downside which is known as banding effect (Wikipedia). Ordered dithering is a technique in which we try to minimize this effect by distributing errors (Wikipedia). There are also some other techniques like floyd-steinberg algorithm which works better but is slower than ordered dithering.

As an example consider the following image: Original image

Now this is the gray scale version with size of 2.2M: Gray scale

But we can reduce the size to 204k with ordered dithering: Dithered image

Cormen-Lib - An academic tool for data structures and algorithms courses

The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administeri

Cormen Lib 12 Aug 18, 2022
Algorithmic virtual trading using the neostox platform

Documentation Neostox doesnt have an API Support, so this is a little selenium code to automate strategies How to use Clone this repository and then m

Abhishek Mittal 3 Jul 20, 2022
Programming Foundations Algorithms With Python

Programming-Foundations-Algorithms Algorithms purpose to solve a specific proplem with a sequential sets of steps for instance : if you need to add di

omar nafea 1 Nov 01, 2021
An implementation of ordered dithering algorithm in python as multimedia course project

One way of minimizing the size of an image is to simply reduce the number of bits you use to represent each pixel.

7 Dec 02, 2022
A library for benchmarking, developing and deploying deep learning anomaly detection algorithms

A library for benchmarking, developing and deploying deep learning anomaly detection algorithms Key Features • Getting Started • Docs • License Introd

OpenVINO Toolkit 1.5k Jan 04, 2023
GoldenSAML Attack Libraries and Framework

WhiskeySAML and Friends TicketsPlease TicketsPlease: Python library to assist with the generation of Kerberos tickets, remote retrieval of ADFS config

Secureworks 43 Jan 03, 2023
Algoritmos de busca:

Algoritmos-de-Buscas Algoritmos de busca: Abaixo está a interface da aplicação: Ao selecionar o tipo de busca e o caminho, então será realizado o cálc

Elielson Barbosa 5 Oct 04, 2021
Path tracing obj - (taichi course final project) a path tracing renderer that can import and render obj files

Path tracing obj - (taichi course final project) a path tracing renderer that can import and render obj files

5 Sep 10, 2022
Visualisation for sorting algorithms. Version 2.0

Visualisation for sorting algorithms v2. Upped a notch from version 1. This program provides animates simple, common and popular sorting algorithms, t

Ben Woo 7 Nov 08, 2022
This is an implementation of the QuickHull algorithm in Python. I

QuickHull This is an implementation of the QuickHull algorithm in Python. It randomly generates a set of points and finds the convex hull of this set

Anant Joshi 4 Dec 04, 2022
Python sample codes for robotics algorithms.

PythonRobotics Python codes for robotics algorithm. Table of Contents What is this? Requirements Documentation How to use Localization Extended Kalman

Atsushi Sakai 17.2k Jan 01, 2023
Resilient Adaptive Parallel sImulator for griD (rapid)

Rapid is an open-source software library that implements a novel “parallel-in-time” (Parareal) algorithm and semi-analytical solutions for co-simulation of integrated transmission and distribution sy

Richard Lincoln 7 Sep 07, 2022
Implementation of Apriori algorithms via Python

Installing run bellow command for installing all packages pip install -r requirements.txt Data Put csv data under this directory "infrastructure/data

Mahdi Rezaei 0 Jul 25, 2022
Algorithms written in different programming languages

Data Structures and Algorithms Clean example implementations of data structures and algorithms written in different languages. List of implementations

Zoran Pandovski 1.3k Jan 03, 2023
Algorithms and data structures for educational, demonstrational and experimental purposes.

Algorithms and Data Structures (ands) Introduction This project was created for personal use mostly while studying for an exam (starting in the month

50 Dec 06, 2022
A Python Package for Portfolio Optimization using the Critical Line Algorithm

A Python Package for Portfolio Optimization using the Critical Line Algorithm

19 Oct 11, 2022
Implementation for Evolution of Strategies for Cooperation

Moraliser Implementation for Evolution of Strategies for Cooperation Dependencies You will need a python3 (= 3.8) environment to run the code. Before

1 Dec 21, 2021
It is a platform that implements some path planning algorithms.

PathPlanningAlgorithms It is a platform that implements some path planning algorithms. Main dependence: python3.7, opencv4.1.1.26 (for image show) Tip

5 Feb 24, 2022
The test data, code and detailed description of the AW t-SNE algorithm

AW-t-SNE The test data, code and result of the AW t-SNE algorithm Structure of the folder Datasets: This folder contains two datasets, the MNIST datas

1 Mar 09, 2022
Policy Gradient Algorithms (One Step Actor Critic & PPO) from scratch using Numpy

Policy Gradient Algorithms From Scratch (NumPy) This repository showcases two policy gradient algorithms (One Step Actor Critic and Proximal Policy Op

1 Jan 17, 2022