The course covers basic concepts and fundamental methodologies of Digital Image Processing, including the following themes : image sensing, elements of visual perception, image sampling and quantization, image file formats, image intensity transforms, histogram processing, spatial image processing, smoothing spatial filters, sharpening spatial filters, geometric transformations, 2-D Fourier transform of continuous signals, 2-D Fourier transform of discrete signals, 2-D discrete Fourier transform, image filtering in the frequency domain, 2-D fast Fourier transform, discrete cosine transform, 2-D wavelet transform, gray-scale image morphological processing, non-linear filters, noise reduction, image restoration, color image processing, image compression fundamentals, JPEG, JPEG 2000
Learning Objectives
The course covers fundamental issues for the specialization area of "Computational Vision and Robotics". It is addressed, however, to all computer science students for obtaining a solid background in image processing for applications in domains from telecommunications to human-computer interaction. Students achieve the understanding of image processing nad transformation algorithms and knowledge and experience of their implemention. They will be familiar with methods for enhancing, correcting and restoring images. Finally, they acquire knowledge of the basic principles of compression for concise and reliable representation, as well as those that support the most widely used image compression standards.
Grading
The evaluation is based on assignments and a final project.
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course; the second digit denotes the area of computer science to which the course belongs.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Second Digit
Computer Science Area
0
Introductory - General
1
Background (Mathematics, Physics)
2
Hardware Systems
3
Networks and Telecommunication
4,5
Software Systems
6
Information Systems
7
Computer Vision and Robotics
8
Algorithms and Theory of Computation
9
Special Projects
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.