Abstract In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering
solution to a quantitative description of the optical wavefront. After 75 years of development …

Accurate depiction of waves in temporal and spatial is essential to the investigation of
interactions between physical objects and waves. Digital holography (DH) can perform …

Holographic interferometry is a well-established field of science and optical engineering. It
has a half-century history of successful implementation as the solution to numerous …

Easy and efficient acquisition of high-resolution remote sensing images is of importance in
geographic information systems. Previously, deep neural networks composed of …

Modern quantitative optical imaging is develo** toward high throughput and powerful data
processing capabilities. Holography is a powerful technique to characterize quantitative …

Watermarking by Zernike moments has been proven to be effective in providing high
rotational resistance. However, due to the high computational complexity, the conventional …

Recent work has shown that deep convolutional neural network is capable of solving
inverse problems in computational imaging, and recovering the stress field of the loaded …

Holography via laser interference is a powerful technique for precise processing of plastics
by creating ultrafine structures down to the nanometer level. As all of the information from the …

Axial resolving power (ARP) is one of the cornerstones of imaging systems. In conventional
imaging systems, changing ARP by changing the numerical aperture affects also lateral …

A quantum hue, saturation, and lightness model is proposed in which a triple qubit
sequence (QHTS) is encoded and used as a data model for the implementation of quantum …