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  1. 28 Μαΐ 2024 · Optical imaging can characterize diverse properties of light, including amplitude, phase, wavelength, and polarization, which provides abundant information about samples, such as their morphology...

  2. Wavelets are mathematical functions that cut up data into difierent frequency com- ponents, and then study each component with a resolution matched to its scale. They have ad- vantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes.

  3. Short-wave infrared (SWIR) is an emerging technology in imaging. It is typically defined as light in the 0.9 – 1.7μm wavelength range, but can also be classified from 0.7 – 2.5μm. Using SWIR wavelengths allows for the imaging of density variations, as well as through obstructions such as fog.

  4. Digital image processing is the use of computer algorithms to perform image processing on digital images. An image f(x, y), where x & y are spatial (plane) coordinates, and the amplitude of f at (x, y) is called the intensity or gray level of the image at that point.

  5. Section “Wavelets in Image Processing” is a brief introduction to wavelets and their applications in image processing. Section “PDE Techniques” presents some well known PDE models in image processing.

  6. 28 Μαΐ 2024 · Flat optics enable light manipulation at the subwavelength scale and provide a compact, wave-based, information processing and acquisition platform.

  7. The reflection and transmission of light at boundaries between dielectric media is an important feature of almost all optical instruments and so we then consider how the physics of wave reflection at boundaries can be engineered to produce surfaces with high or partial reflectivity or even no reflectivity at all.

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