Image Processing: Display and Enhancement

Related lectures (31)

Page 3 of 4

Covers the fundamentals of image processing, practical work using Jupyter Notebooks, and future trends in the field.

Covers the basics of image processing and implementing seam carving algorithms for image resizing.

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Covers colors, scientific images, and image dimensions beyond 2D planes.

Covers Fourier filtering techniques using the 4F system for image processing and enhancement.

Covers the deconvolution problem and Image-Domain CLEAN method for restoring images.

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Offers a detailed analysis of image descriptions and their impact on effective communication.

Introduces image processing basics, covering vector vs matrix images, RGB color system, grayscale, and image manipulation libraries.

Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.