Nothing Special   »   [go: up one dir, main page]

Laurenzis et al., 2021 - Google Patents

Passive imaging of single photon flux: strategies for de-noising, motion blur reduction and super-resolution up-scaling

Laurenzis et al., 2021

Document ID
13264419314023381173
Author
Laurenzis M
Seets T
Bacher E
Ingle A
Velten A
Publication year
Publication venue
Emerging Imaging and Sensing Technologies for Security and Defence VI

External Links

Snippet

Single photon-counting avalanche photo-diode (SPAD) can measure the photon flux from uncorrelated single photons. In present work, we show how the sensor photon count rate is related to the intensity or the radiant flux that is reflected from surfaces in the sensor's field of …
Continue reading at www.spiedigitallibrary.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/003—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/222—Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225—Television cameras; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/232—Devices for controlling television cameras, e.g. remote control; Control of cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in, e.g. mobile phones, computers or vehicles
    • H04N5/23229—Devices for controlling television cameras, e.g. remote control; Control of cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in, e.g. mobile phones, computers or vehicles comprising further processing of the captured image without influencing the image pickup process

Similar Documents

Publication Publication Date Title
Sun et al. End-to-end learned, optically coded super-resolution SPAD camera
DeWeert et al. Lensless coded-aperture imaging with separable Doubly-Toeplitz masks
Stork et al. Optical, mathematical, and computational foundations of lensless ultra-miniature diffractive imagers and sensors
US10366480B2 (en) Super-resolution systems and methods
US20010024534A1 (en) Super resolution methods for electro-optical systems
US10694123B2 (en) Synthetic apertures for long-range, sub-diffraction limited visible imaging using fourier ptychography
Regier et al. Celeste: Variational inference for a generative model of astronomical images
Young et al. Signal processing and performance analysis for imaging systems
Gruen et al. Implementation of robust image artifact removal in SWarp through clipped mean stacking
Zhi et al. Image degradation characteristics and restoration based on regularization for diffractive imaging
Hyde et al. Material classification of an unknown object using turbulence-degraded polarimetric imagery
Liaudat et al. Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies
Laurenzis et al. Passive imaging of single photon flux: strategies for de-noising, motion blur reduction and super-resolution up-scaling
JP2019507923A (en) Computational imaging using uncalibrated pupil phase
Laurenzis et al. Comparison of super-resolution and noise reduction for passive single-photon imaging
Nürnberg et al. A simulation framework for the design and evaluation of computational cameras
DeWeert et al. Lensless coded aperture imaging with separable doubly Toeplitz masks
Estrada et al. DeblurGAN-C: image restoration using GAN and a correntropy based loss function in degraded visual environments
Preece et al. A noise model for the design of a compressive sensing imaging system
Wegner et al. Image based performance analysis of thermal imagers
Du Bosq et al. Performance assessment of a compressive sensing single-pixel imaging system
Preece et al. An imaging system detectivity metric using energy and power spectral densities
Hickman et al. Modelling and simulation framework for ATR design evaluation
Du Bosq et al. Performance assessment of a single-pixel compressive sensing imaging system
Estrada et al. Multi-frame GAN-based machine learning image restoration for degraded visual environments