Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

MODULE 1 DESCRIPTION: Gain an introduction to the captivating world of image and video processing, delving into the fundamental concepts that form the foundation of this fascinating field. Explore the workings of the human visual system, the engineering behind image formation, and the basic algorithms used for image adjustment.

MODULE 2 DESCRIPTION: Dive into the intricate realm of image and video compression, unraveling the reasons behind compression, exploring encoding standards such as JPEG and MPEG, and understanding the techniques for compressing and decompressing digital images and videos.

MODULE 3 DESCRIPTION: Explore spatial processing techniques, including image enhancement, histogram modification, local neighborhood operations, and filtering methods, gaining insights into how these processes contribute to the manipulation and improvement of digital images.

MODULE 4 DESCRIPTION: Uncover the art of image restoration, delving into the identification and estimation of noise, understanding degradation functions, and exploring filtering techniques such as Wiener filtering to restore and enhance digital images.

MODULE 5 DESCRIPTION: Embark on an exploration of image segmentation, discovering techniques for identifying edges and regions, utilizing segmentation algorithms, and gaining insights into advanced methods such as graph cuts, active contours, and Adobe’s Roto Brush.

MODULE 6 DESCRIPTION: Delve into the world of geometric PDEs in image and video processing, gaining an understanding of planar and surface differential geometry, curve evolution, level sets, anisotropic diffusion, and contrast enhancement via PDEs.

MODULE 7 DESCRIPTION: Explore the art of image and video inpainting, uncovering the techniques and algorithms for filling in missing or damaged areas in images and videos, gaining insights into the utilization of PDEs, calculus of variations, and smart cut and paste methods.

MODULE 8 DESCRIPTION: Gain an understanding of sparse modeling and compressed sensing, exploring the implementation of sparse modeling, dictionary learning, and structured sparsity, along with its application in image processing examples and activity recognition.

MODULE 9 DESCRIPTION: Embark on a journey into medical imaging, uncovering the application of image processing in HIV analysis, brain imaging, diffusion imaging, and deep brain stimulation, gaining insights into the utilization of digital image processing in the medical field.