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DIGITAL PROCESSING OF ART HISTORY IMAGES

CODE 52644
ACADEMIC YEAR 2022/2023
CREDITS
  • 6 cfu during the 2nd year of 8467 STORIA DELL'ARTE E VALORIZZAZ. PATRIMONIO ARTISTICO(LM-89) - GENOVA
  • 6 cfu during the 1st year of 8467 STORIA DELL'ARTE E VALORIZZAZ. PATRIMONIO ARTISTICO(LM-89) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ING-INF/03
    LANGUAGE Italian
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 2° Semester
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    Starting from their representation, the teaching of PROCESSING OF HISTORICAL-ARTISTIC DIGITAL IMAGES introduces the basic techniques for the analysis and transformation of digital images. Large space is devoted to issues related to reproduction and color analysis. The main algorithms introduced during the lessons are deepened during practical laboratory exercises.

    AIMS AND CONTENT

    LEARNING OUTCOMES

    To give basic knowledge of digital representation of historical-artistic images and of their computerised elaboration with the aim of analysis of quality, restoration and compression

    Particular attention will be paid to the methods of teaching.

    AIMS AND LEARNING OUTCOMES

     

    In addition to learning the basic techniques of digital image analysis and processing, students acquire the tools they need to be able to creatively use some image transformation programs and keep up-to-date with developments in the application domain

    TEACHING METHODS

    Lectures with the help of Power-point presentations and delivery of transparencies to students. Laboratory exercises at the School of Engineering.

    Classes are held in person. Attendance, although not compulsory, is recommended. The lecturer, at the specific request of a student (by e-mail), may allow him/her to follow classes remotely via “Teams” platform and to view class recordings.

    SYLLABUS/CONTENT

    Programme for students taking the course for 6 cfu

    Digital images and their representation: acquisition of an image, digital representation (sampling and quantisation), representation of colour (chromatic information), basic mathematical tools.

    Evaluation of the quality of a digital image: contrast, presence of noise or geometrical distortion.
    Improvement of images: reduction of noise, increase of contrast, reduction of geometrical distortion, elements of elaboration in the frequency dominion.
    Restoration of images: elements of quantitative restoration techniques, virtual restoration methods.

    Analysis of images and extraction of structures: extraction of contours and linear primitives, segmentation, analysis of structure.

    Compression of images: codifying with and without loss, predictive coding, coding based on transformation, general description of some standard formats of compression.

    Application to art work images: objective knowledge, conservation and restoration.

    The course also involves computer exercises using software to elaborate images and applying software to art work images.
    Il corso prevede esercitazioni a calcolatore mediante l'uso di pacchetti software per elaborazione di immagini e la loro applicazione ad immagini di opere d'arte

    RECOMMENDED READING/BIBLIOGRAPHY

    S. DELLEPIANE, Elaborazione di immagini digitali, ECIG, 2004.

    C. OLEARI, Misurare il colore, Hoepli, II edizione, 2008

    W. K. PRATT, Digital image processing, Wiley Interscience, 3a edizione, 2001.

    R.M. HARALICK , L:G: SHAPIRO, Computer and Robot Vision, Vol. 1, Addison-Wesley, 1991.

    P. ZAMPERONI, Metodi dell'elaborazione digitale di immagini, Masson, 1990.

    D. H. BALLARD, C. M. BROWN, Computer vision, Prentice Hall, 1982.

    TEACHERS AND EXAM BOARD

    Exam Board

    SILVANA DELLEPIANE (President)

    GABRIELE MOSER

    FEDERICA FERRARO (Substitute)

    LESSONS

    LESSONS START

    Lessons will start on February 16, 2023.

    EXAMS

    EXAM DESCRIPTION

    Oral exam with lab practice exercise test.
     

    ASSESSMENT METHODS

    Oral exam and practical test with a computer

    Exam schedule

    Date Time Location Type Notes
    16/12/2022 15:00 GENOVA Orale Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.
    18/01/2023 15:00 GENOVA Orale Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.
    08/02/2023 15:00 GENOVA Orale Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.
    10/05/2023 15:00 GENOVA Orale appello riservato ai laureandi della sessione estiva. Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.
    31/05/2023 15:00 GENOVA Orale Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.
    28/06/2023 15:00 GENOVA Orale Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.
    19/07/2023 15:00 GENOVA Orale Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.
    13/09/2023 15:00 GENOVA Orale Tutti gli appelli si terranno presso il dipartimento DITEN del polo di Ingegneria, via Opera Pia 11.