HUMAN INTERACTION and MULTIMEDIA and Lab A - L
Module HUMAN INTERACTION and MULTIMEDIA

Academic Year 2022/2023 - Teacher: FILIPPO STANCO

Expected Learning Outcomes

General learning objectives in terms of expected learning outcomes.

Knowledge and understanding: The purpose of the course is to acquire knowledge that will enable the student to understand the theoretical and physical mechanisms underlying the human visual system, the formation and processing of digital images, of the improvement of the visual quality of digital images. Ability to apply knowledge and understanding: the student will acquire the skills needed to acquire, edit, compress, and save a digital image.
Making judgments: Through examples in the classroom, the student will be put into the condition of understanding whether the solutions offered by him meet a certain degree of quality.
Communication skills: The student will acquire the necessary communication skills and technical language skills in the multimedia field.
Learning Skills: The aim of the course is to provide the student with the necessary theoretical and practical methodologies to deal with and solve new problems that arise during a work activity. To this end, several topics will be addressed in lesson by involving the student in the search for possible solutions to real problems.

Course Structure

Classroom lessons

Laboratory lessons

Detailed Course Content

Introduction to digital images

Image formation in the human eye

Thin lens equation

Optical illusions

Digital sensors

The Bayer pattern

Color interpolation

Raster images and vector images

Representation of raster images

Campinamento

quantization

Aliasing

Digital Image Resolution

Interpolation replication, bilinear and bicubic

PSNR

Color

The RGB, CMY, HSV, Munsell, YUV, YCbCr

Indexed images and palettes

Reindexing

The histogram of an image

Punctual operations and LUTs

Bit-planes

Linear and invariant operators for translation

Noise reduction

Edge detection

Space domain

Frequency domain

Fourier transform

The convolution and convolution theorem

Lossy and lossless compression

Shannon's theorem for compression

Huffman Encoding

The Jpeg standard

 
Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

Learning assessment may also be carried out on line, should the conditions require it.

Textbook Information

Digital Image Processing, (3rd Edition) Rafael C. Gonzalez, Richard E. Woods, Ediz. Pearson, Prentice Hall

Course Planning

 SubjectsText References
1La percezione visiva, Acquisizione delle immagini, campionamento e quantizzazione, strumenti matematici usati nella elaborazione delle immaginiCapitolo 2 di "Elaborazione delle Immagini Digitali"
2Istogrammi, filtraggi spaziali, SmoothingCapitolo 3 di "Elaborazione delle Immagini Digitali"
3Filtraggio nel dominio delle frequenza, trasformata di Fourier, Filtraggi nel dominio della frequenzaCapitolo 4 di "Elaborazione delle Immagini Digitali"
4Rumore, filtraggio spazialeCapitolo 5 di "Elaborazione delle Immagini Digitali"
5Spazi coloreCapitolo 6 di "Elaborazione delle Immagini Digitali"
6Compressione delle immaginiFondamenti di Image Processing