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

Yao et al., 2019 - Google Patents

Spectral-depth imaging with deep learning based reconstruction

Yao et al., 2019

View HTML @Full View
Document ID
6311365222213887375
Author
Yao M
Xiong Z
Wang L
Liu D
Chen X
Publication year
Publication venue
Optics express

External Links

Snippet

We develop a compact imaging system to enable simultaneous acquisition of the spectral and depth information in real time. Our system consists of a spectral camera with low spatial resolution and an RGB camera with high spatial resolution, which captures two …
Continue reading at opg.optica.org (HTML) (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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • 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
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals

Similar Documents

Publication Publication Date Title
Yao et al. Spectral-depth imaging with deep learning based reconstruction
Zheng et al. Deep plug-and-play priors for spectral snapshot compressive imaging
Zeng et al. An end-to-end fully-convolutional neural network for division of focal plane sensors to reconstruct s 0, dolp, and aop
Correa et al. Snapshot colored compressive spectral imager
Li et al. CS-ToF: High-resolution compressive time-of-flight imaging
Ma et al. Acquisition of high spatial and spectral resolution video with a hybrid camera system
Galvis et al. Coded aperture design in mismatched compressive spectral imaging
Sun et al. Color polarization demosaicking by a convolutional neural network
Bacca et al. Compressive spectral image reconstruction using deep prior and low-rank tensor representation
Mian et al. Hyperspectral video restoration using optical flow and sparse coding
Bacca et al. Computational spectral imaging: a contemporary overview
Fu et al. Hyperspectral imaging from a raw mosaic image with end-to-end learning
Zhao et al. Heterogeneous camera array for multispectral light field imaging
Yuan et al. Compressive video sensing with side information
Galvis et al. Shifting colored coded aperture design for spectral imaging
Zhang et al. High light efficiency snapshot spectral imaging via spatial multiplexing and spectral mixing
Marquez et al. Snapshot compressive spectral depth imaging from coded aberrations
Zhou et al. Lensless cameras using a mask based on almost perfect sequence through deep learning
Liu et al. Polarization image demosaicing and RGB image enhancement for a color polarization sparse focal plane array
He et al. Single-shot hyperspectral imaging based on dual attention neural network with multi-modal learning
Murakami et al. Hybrid-resolution spectral video system using low-resolution spectral sensor
Tian et al. Learned lensless 3D camera
Xu et al. Wavelength encoding spectral imaging based on the combination of deeply learned filters and an RGB camera
Xie et al. Dual camera snapshot high-resolution-hyperspectral imaging system with parallel joint optimization via physics-informed learning
Li et al. MWDNs: reconstruction in multi-scale feature spaces for lensless imaging