Displaying 263 resources



Image Sampling
This lecture overviews spatial image frequency content and image sampling. Rectangular and hexagonal sampling grids are presented. Sampled image frequency content is analyzed and a 2D version of Shannon theorem is presented.



Digital Image Filtering
This lecture overviews Image Filtering, which is very important to ensure high image quality and image denoising. It covers the following topics in detail: Image noise. 2D FIR filters, including Moving average filters.



Human Visual System
This lecture overviews the Human Visual System that has many applications in understanding image perception and image quality issues. It covers the following topics in detail: Human Visual System (eyes and visual pathway, stereo vision).



Digital Images
This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented. Elementary digital image processing and geometrical transformations operations are explained.



Digital Image Processing
This lecture overviews Digital Image Processing that has many applications in improving image visual quality.



Image Perception
This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations.