Basic Information
Introduction to Vision and to Image Processing. 2d Signals and Linear Systems. Sampling and Reconstruction# Uniform Sampling, Aliasing, General Sampling Grids. Quantization# Scalar, Visual Perception, Color Quantization. Image Enhancement# Gray Level Transformations, Histogram Processing, Spatial Filtering, Smoothing, Sharpening. Image Restoration# Maximum-likelihood, Maximum a Posteriori. 2d Discrete Transforms. Multiresolution and Multi-scale Representations And Analysis of Images. Image Compression# Fundamental Concepts Of Information Theory, Image Redundancies, Error-free Compression, Lossy Compression. Introduction to Computer Vision.
Faculty: Electrical and Computer Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
(44130 - Signals and Systems and 104034 - Introduction to Probability H) or (44130 - Signals and Systems and 94412 - Probability (advanced)) or (44130 - Signals and Systems and 104222 - Probability Theory) or (44130 - Signals and Systems and 94411 - Probability (ie)) or (44131 - Signals and Systems and 104034 - Introduction to Probability H) or (44131 - Signals and Systems and 94412 - Probability (advanced)) or (44131 - Signals and Systems and 104222 - Probability Theory) or (44131 - Signals and Systems and 94411 - Probability (ie))
Course with no extra credit
336027 - Medical Image Processing 236860 - Digital Image Processing
Related Books
- Computer vision : algorithms and applications - Szeliski, Richard
- Computer Vision Algorithms and Applications - Szeliski, Richard
- Computer Vision Algorithms and Applications - Szeliski, Richard.
- Digital image processing - Gonzalez, Rafael C.
- Digital image processing - Gonzalez, Rafael C.
- Digital image processing - Gonzalez, Rafael C.
- Digital image processing - Gonzalez, Rafael C.
- Digital image processing using MATLAB - Gonzalez, Rafael C.
- Digital image processing using MATLAB - Gonzalez, Rafael C.
- Fundamentals of digital image processing - Jain, Anil K.
- עיבוד וניתוח תמונות - אלעד, מיכאל
- עיבוד וניתוח תמונות - אלעד, מיכאל
Semestrial Information
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Yoav Schechner
Notes
-
סדנת רשות: ימי ג, 17.30-18.30
Exams
Session A: 03-07-2022 Session B: 20-09-2022Registration Groups
|
|
|
|
|
|
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Israel Cohen
Notes
-
סדנת רשות: ימי ג', 18.30-19.30, מאייר 165
-
מתרגל הסדנא: אהרן אילון
-
מתרגלים: אלעד הירש (גם אחראי), אמיר בלדר
-
בודקת תרגילי מחשב: ענבל קום בצר בודק תרגילים יבשים: שגיא מונין
Exams
Session A: 17-02-2022 13:00 - 16:00- ה.אויר 149. 150. 241.
- דיוויס 282. 283. 373.
Registration Groups
|
|
|
|
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Yoav Schechner
Notes
-
סדנת רשות: ימי ה, 14.30-13.30 מתרגל הסדנא: אהרן אילון
-
מתרגלים: אלעד הירש (גם אחראי) ואמיר בלדר
-
בודק תרגילי מחשב: אור שטרייכר
-
בודק תרילים "יבשים": שגיא מונין
Exams
Session A: 14-07-2021 13:00 - 16:00- אולמן 700. 701. 702. 703. 704. 707. 708. 802. 803.
- אולמן 706. 707. 708. 800. 801. 802. 803. 804. 805. 806.
Registration Groups
|
|
|
|
|
|