Subject: Subject Sylbus: Digital Image Processing - 236860

Digital Image Processing - 236860
Credit
Points
3.0
 
Given In
Semester
a
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1   1 6

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Signals and Systems 044130
or Signal, Image and Data Processing 236200
or Digital Image and Signal Processing 236327
 
Identical Courses: Image Processing and Analysis 046200


Introduction to Computer Vision and Image Processing. Signals and Linear Systems in 2D. Sampling of Images Over the Affine Grid, and the Aliasing Effect. Scalar and Vector Quantization, Error Diffusion Quantization for Better Visual Effects, Quantization for Color Images. Image Enhancement Using Memory-Less (Lut) Operations, Linear and Non-Linear Spatial Filters, Denoising, Sharpening, Edge Detection. Image Restoration-Basics, Statistical Estimators (Ml and Map) and Their Use, Image Priors, the Use of Examples. Linear and Non-Linear Transforms in 2D, Pyramidal Representations for Images. Introduction to Information Theory, Redundancies in Images, Lossless and Lossy Image Compression Algorithms. Computerized Tomography - the Radon Transform and Its Inversion, Algebraic Methods for Reconstruction from Projections. Video Processing-Motion Estimation, Denoising and Compression for Image Sequences.




System of hours to the semesters
Semester Previous Semester information 01/2018 2018/2019 Winter Semester


Textbooks
Library
number
Published Publisher Authors Book
DEFNO 1989 prentice hall a-k- jain fundamentals of digital image processing
  1982 academic press a rosenfeld and a- kak digital picture processing

Created in 16/02/2019 Time 01:05:11