ADR Awareness Centre

This lecture overviews Super Resolution that has many applications in digital imaging, display and printing.

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

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. Spatial filters.

This lecture overviews Computational Aesthetics  that has many applications in visual arts and computer graphics. It covers the following topics in detail: Neuroaesthetics. Computational Aesthetics. Critical problems in aesthetics.

This lecture overviews Image Quality that has many applications in image filtering, processing, transmission, streaming and TV.

This lecture overviews Colour Theory that has many applications in digital image/video processing and analysis, multimedia sites and in digital TV.

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

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).

This lecture overviews Image Formation, which is of primary importance in ensuring image quality and enabling image processing. It covers the following topics in detail: Light reflection models. Camera structure and models, e.g., Pinhole Camera.

This lecture overviews Image Transforms that are instrumental in image filtering, compression and power spectrum estimation.

This lecture will overview 2D linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(N^2log2N).

This lecture overviews 2D Digital Filter Design and Implementation that has many applications in digital image filtering, computer vision (template matching) and convolutional neural networks .