Image Acquisition, Handling and Processing
Code
11008
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Informática
Credits
6.0
Teacher in charge
Maria Armanda Simenta Rodrigues Grueau, Nuno Manuel Robalo Correia
Weekly hours
5
Teaching language
Português
Objectives
Knowledge
- The main features of 2D and 3D digital images.
- Mechanisms for digitizating 2D and 3D images.
- Image repair techniques.
- What are the implications in terms of quality of image compression.
- The characteristics of cultural archives libraries.
Applications
- Calculate the requirements for digitization and storage.
- Choosing the most appropriate compression format for a particular type of information.
- Repair damage to digital images.
- Build 3D models of real objects.
Soft -Skills
- Research and identify relevant information in an emerging area.
- Understand the technological nature of the discipline and its relation to Conservation and Restoration.
- Ability to manage and develop a project of digital restoration.
- Ability to compare the practical work with existing approaches.
Prerequisites
No requirements.
Subject matter
Introdução aos computadores
- CPU, memória, disco, interfaces
- Compreender o que são sinais analógicos
- Conversão de analógico para digital
Visão
- Modelos de cor
- Imagens não vísiveis (IR, ultrasons)
Imagens, pixeis e cor
- Raster e vectoriais
- Pixeis, profundidade de cor
- Restauro Digital
Tratamento de imagens 2D
- Histograma
- Filtros de processamento de imagem
- Remoção de ruído, restauração de imagens
- Detecção de contornos
- Aquisição de imagem 2D e 3D
- Resolução de digitalização e visualização
Imagens 3D
- Digitalização de objetos
- Nuvens de pontos e superfícies
Compressão de imagem
- Formatos sem perdas: BMP, TIFF, PNG
- Redundância visual
- Ruído de compressão
- Formatos com perdas: JPEG
Bibliotecas digitais de imagens
- Pesquisa (QBIC, V&A)
- Catalogação
- Preservação de informação
Bibliography
Gonzalez, Rafael C. and Woods, Richard E. Digital Image Processing, 4th Edition. Pearson, 2018.
Lindsay MacDonald eds. Digital Heritage: Applying Digital Imaging to Cultural Heritage. Routledge, 2006.
Mongeon, Bridgette. 3D Technology in Fine Art and Craft: Exploring 3D Printing, Scanning, Sculpting and Milling. CRC Press, 2015.
Faulkner, Andrew and Chavez, Conrad. Adobe Photoshop CC Classroom in a Book. Adobe Press, 2018.
Teaching method
The teaching methodology consists of a lecture of 2 hours per week and a laboratory class of 3 hours.
Lectures tackle the concepts listed in the syllabus. Whenever possible, problems will be solved as an example of theory taught during the class.
Laboratory classes include two projects.
The first project allows students to practice the concepts of digital image processing as a way to simulate the restoration of a damaged piece.
The topic of the second project is centered on using knowledge acquired during classes about 3D imaging.
Assessment components:
- Two tests that deal with both theoretical and laboratory knowledge.
- A project of digital treatment as a way to simulate an original restoration.
- A project where students will develop simplified 3D annotated models of artistic installations.