Subject(s)
Dermatitis, Atopic/therapy , Exercise , Heliotherapy , Life Style , Psoriasis/therapy , Quality of Life , Adult , Aged , Female , Humans , Male , Middle Aged , Peer Influence , Personal Autonomy , Power, Psychological , Severity of Illness Index , Visual Analog Scale , Young AdultABSTRACT
Compressive imagers acquire images, or other optical scene information, by a series of spatially filtered intensity measurements, where the total number of measurements required depends on the desired image quality. Compressive imaging (CI) offers a versatile approach to optical sensing which can improve size, weight, and performance (SWaP) for multispectral imaging or feature-based optical sensing. Here we report the first (to our knowledge) systematic performance comparison of a CI system to a conventional focal plane imager for binary, grayscale, and natural light (visible color and infrared) scenes. We generate 1024×1024 images from a range of measurements (0.1%-100%) acquired using digital (Hadamard), grayscale (discrete cosine transform), and random (Noiselet) CI basis sets. Comparing the outcome of the compressive images to conventionally acquired images, each made using 1% of full sampling, we conclude that the Hadamard Transform offered the best performance and yielded images with comparable aesthetic quality and slightly higher spatial resolution than conventionally acquired images.
Subject(s)
Image Processing, Computer-Assisted/methods , Lighting/instrumentation , Photography/instrumentation , Artifacts , Data Compression , Glass/chemistry , Humans , Infrared Rays , Lighting/methods , Optics and Photonics , Pattern Recognition, Automated , Photography/methodsABSTRACT
The design, development, and field-test results of a visible-band, folded, multiresolution, adaptive computational imaging system based on the Processing Arrays of Nyquist-limited Observations to Produce a Thin Electro-optic Sensor (PANOPTES) concept is presented. The architectural layout that enables this imager to be adaptive is described, and the control system that ensures reliable field-of-view steering for precision and accuracy in subpixel target registration is explained. A digital superresolution algorithm introduced to obtain high-resolution imagery from field tests conducted in both nighttime and daytime imaging conditions is discussed. The digital superresolution capability of this adaptive PANOPTES architecture is demonstrated via results in which resolution enhancement by a factor of 4 over the detector Nyquist limit is achieved.
