Overview
Delve into the captivating world of imaging with our comprehensive course, now available through Columbia University on Coursera. Uncover the essence of creating images ready for human or machine interpretation, a practice with centuries of history yet revolutionized in the past thirty years. This course offers profound insights into the impact of recent imaging innovations on computer vision.
Starting with the basics, learners will explore how an image is formed via lens cameras, understanding the optical characteristics such as magnification, F-number, depth of field, and field of view. The journey continues with an in-depth look at how solid-state image sensors, including CCD and CMOS, capture images, highlighting their resolution, noise characteristics, and dynamic range. Discover the art of color sensing and high dynamic range image capturing.
In structured environments, the process of thresholding to create binary images reveals geometric properties vital for object recognition and location. The course culminates with essential image processing techniques, developing computational tools for denoising, deblurring, and enhancing images for easier analysis by computer vision systems. Join us for this enlightening journey into the fundamentals of imaging and unlock the potential of computer vision. Ideal for those intrigued by Computer Vision Courses.