This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: Connexions module: m16125 1 Compressive Imaging * J. Ryan Stinnett Jennifer Gillenwater This work is produced by The Connexions Project and licensed under the Creative Commons Attribution License † Abstract An introduction to the principles of compressive imaging, based on a comparison to conventional digital cameras In order to achieve the goals set out in the project introduction, we intend to exploit compressive sensing. The reasoning behind our choice of this technique and the technique itself are described in detail in the following paragraphs. A conventional digital camera works by capturing light from an object and focusing it through a lens onto an array of sensors. Cameras used by the general public operate in the visible range, 400 to 750 nm, with CMOS sensors. They can be modi ed to image in a slightly wider range, from 280 to 1200 nm, if their infrared (IR) lters are removed . Current IR cameras can operate in much higher ranges, from the near infrared (NIR) at 0.75 1.4 μ m, to the far infrared (FIR) at 15 1,000 μ m . The average person, however, does not have the purchasing power to buy an IR camera, as one generally costs between $3,000 and $50,000. Even for companies or governmental institutions, this is a substantial sum of money. The bulk of the cost of an IR camera is in its sensor array and the cooling system that regulates the array's temperature. The array alone accounts for at least one-third of any IR camera's price. The cooling system that helps reduce background noise and the e ects of pixel bleeding is similarly expensive. Unfortunately,that helps reduce background noise and the e ects of pixel bleeding is similarly expensive....
View Full Document
- Spring '10
- Signal Processing, Digital cameras, Digital camera, Infrared, compressive sensing