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

Our implementation of Gillespie's Stochastic Simulation Algorithm (SSA)

SSA Our implementation of Gillespie's Stochastic Simulation Algorithm (SSA) Requirements python =3.7 numpy pandas matplotlib pyyaml Command line usag

Anoop Lab 1 Jan 27, 2022
A python implementation of the Basic Photometric Stereo Algorithm

Photometric-Stereo A python implementation of the Basic Photometric Stereo Algorithm Result Usage run Photometric_Stereo.py Code Tree |data #原始数据,tga格

20 Dec 19, 2022
Minimal examples of data structures and algorithms in Python

Pythonic Data Structures and Algorithms Minimal and clean example implementations of data structures and algorithms in Python 3. Contributing Thanks f

Keon 22k Jan 09, 2023
A litle algorithm that i made for transform a picture in a spreadsheet.

PicsToSheets How it works? It is an algorithm designed to transform an image into a spreadsheet file. this converts image pixels to color cells of she

Guilherme de Oliveira 1 Nov 12, 2021
Greedy Algorithm-Problem Solving

MAX-MIN-Hackrrank-Python-Solution Greedy Algorithm-Problem Solving You will be given a list of integers, , and a single integer . You must create an a

Mahesh Nagargoje 3 Jul 13, 2021
Planning Algorithms in AI and Robotics. MSc course at Skoltech Data Science program

Planning Algorithms in AI and Robotics course T2 2021-22 The Planning Algorithms in AI and Robotics course at Skoltech, MS in Data Science, during T2,

Mobile Robotics Lab. at Skoltech 6 Sep 21, 2022
This application solves sudoku puzzles using a backtracking recursive algorithm

This application solves sudoku puzzles using a backtracking recursive algorithm. The user interface is coded with Pygame to allow users to easily input puzzles.

Glenda T 0 May 17, 2022
This repository is an individual project made at BME with the topic of self-driving car simulator and control algorithm.

BME individual project - NEAT based self-driving car This repository is an individual project made at BME with the topic of self-driving car simulator

NGO ANH TUAN 1 Dec 13, 2021
Python based framework providing a simple and intuitive framework for algorithmic trading

Harvest is a Python based framework providing a simple and intuitive framework for algorithmic trading. Visit Harvest's website for details, tutorials

100 Jan 03, 2023
Python Client for Algorithmia Algorithms and Data API

Algorithmia Common Library (python) Python client library for accessing the Algorithmia API For API documentation, see the PythonDocs Algorithm Develo

Algorithmia 138 Oct 26, 2022
Gnat - GNAT is NOT Algorithmic Trading

GNAT GNAT is NOT Algorithmic Trading! GNAT is a financial tool with two goals in

Sher Shah 2 Jan 09, 2022
Using Bayesian, KNN, Logistic Regression to classify spam and non-spam.

Make Sure the dataset file "spamData.mat" is in the folder spam\src Environment: Python --version = 3.7 Third Party: numpy, matplotlib, math, scipy

0 Dec 26, 2021
Algorithmic Trading with Python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Chris Conlan 1.3k Jan 03, 2023
Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life.

Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generatio

Mahdi Hassanzadeh 4 Dec 24, 2022
A collection of design patterns/idioms in Python

python-patterns A collection of design patterns and idioms in Python. Current Patterns Creational Patterns: Pattern Description abstract_factory use a

Sakis Kasampalis 36.2k Jan 05, 2023
A simple python application to visualize sorting algorithms.

Visualize sorting algorithms A simple python application to visualize sorting algorithms. Sort Algorithms Name Function Name O( ) Bubble Sort bubble_s

Duc Tran 3 Apr 01, 2022
How on earth can I ever think of a solution like that in an interview?!

fuck-coding-interviews This repository is created by an awkward programmer who always struggles with coding problems on LeetCode, even with some Easy

Vinta Chen 613 Jan 08, 2023
Search algorithm implementations meant for teaching

Search-py A collection of search algorithms for teaching and experimenting. Non-adversarial Search There’s a heavy separation of concerns which leads

Dietrich Daroch 5 Mar 07, 2022
Minimal pure Python library for working with little-endian list representation of bit strings.

bitlist Minimal Python library for working with bit vectors natively. Purpose This library allows programmers to work with a native representation of

Andrei Lapets 0 Jul 25, 2022
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet

Lawrence Livermore National Laboratory 13 Dec 02, 2022