Ir para o conteúdo principal
Painel lateral
Disciplinas »
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
AACCs/FFLCH
Pró-Reitoria de Pós-Graduação
Outros
Suporte »
Acesso
Perfis
Ouvintes
Docentes
Criação de Disciplinas da USP
Documentação
HelpDesk e Contato
Guia de uso
Sobre
Português - Brasil (pt_br)
Deutsch (de)
English (en)
Español - Internacional (es)
Français (fr)
Italiano (it)
Português - Brasil (pt_br)
Buscar
Fechar
Buscar
Alternar entrada de pesquisa
Acessar
MAI5020 - Fundamentals of Digital Image Processing (2023)
Início
Ambientes
2023
ICMC
MAI
MAI5020-2023
Fourier Transform
[interactive video 4-4] Frequency Analysis with Fo...
[interactive video 4-4] Frequency Analysis with Fourier Series
◄ [interactive video 4-3] Fourier Series and Complex Exponentials
Seguir para...
Seguir para...
Announcements and News
Git Repository with Notebooks used during classes
Course Presentation
DIP_01_Fundamentals
[interactive video 1-1] Image, digital image and sensors
[interactive video 1-2] Natural vision and quantization
[interactive video 1-3] Color quantization and brightness perception
[video 1-4] Coding environment Python 3 and Jupyter Notebook
[interactive video 1-5] Implementing an image processing program in Python
Exam 1
DIP_02_ImageEnhancement_PointOp-Filtering
[interactive video 2-1] Definitions and pixel-based transformation functions
[interactive video 2-2] Common point operators
[interactive video 2-3] Coding point operators in Python
[interactive video 2-4] histogram-based image processing
[interactive video 2-5] Coding histogram equalization
Exam 2
[interactive video 3-1] filtering and 1D convolutions
[interactive video 3-2] 2D convolution
[interactive video 3-3] Cross-correlation and smoothing filters
[interactive video 3-4] Differential filters and sharpening filters
[interactive video 3-5] coding 2d convolutions for image filtering
[interactive video 3-6] examples of filters in Python
[video 3-7] Bonus content: using gitlab/git for code maintenance
Exam 3
DIP_04_FourierTransform_part1
DIP_04_FourierTransform_part2_2022
[interactive video 4-1] Fundamentals: representations of functions
[interactive video 4-2] Fourier Transform: History, Periodicity and Sinusoids
[interactive video 4-3] Fourier Series and Complex Exponentials
[interactive video 4-5] Introduction to Frequency analysis with numpy and python
[interactive video 4-6] Discrete Fourier Transform 1D and 2D with source code
[interactive video 4-7] 2D-DFT and its properties
[interactive video 4-8] Processing images in the frequency domain
[interactive video 4-9] Fast Fourier Transform Algorithm
[interactive video 4-10] Fast Fourier Transform implementation in Python
Exam 4
DIP_05_Restoration
[interactive video 5-1] Image formation model and common sources of noise
[interactive video 5-2] Noise simulation, filters and adaptive filters
[interactive video 5-3] Implementing noise simulation and denoising filters
[interactive video 5-4] Blur effect and least squares filters
[interactive video 5-5] Deconvolution / de-blurring with (pseudo)-inverse filter in python
Exam 5
Specification for Assignment 01
Test Cases for Assignment 01
Submission for Assignment 01
Specification for Assignment 02
Test Cases for Assignment 02
Submission for Assignment 02
[interactive video 4-5] Introduction to Frequency analysis with numpy and python ►