[go: up one dir, main page]

Plowman et al., 2022 - Google Patents

SPICE PSF Correction: General Framework and Capability Demonstration

Plowman et al., 2022

View PDF
Document ID
16135648053860167752
Author
Plowman J
Auchère F
Cuadrado R
Fludra A
Fredvik T
Hassler D
Mandal S
Peter H
Publication year
Publication venue
arXiv preprint arXiv:2211.16635

External Links

Snippet

We present a new method of removing PSF artifacts and improving the resolution of multidimensional data sources including imagers and spectrographs. Rather than deconvolution, which is translationally invariant, this method is based on sparse matrix …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • 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
    • G06T3/40—Scaling the whole image or part thereof
    • G06T3/4084—Transform-based scaling, e.g. FFT domain scaling
    • 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
    • G06T3/40—Scaling the whole image or part thereof
    • G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
    • G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
    • 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
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • 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
    • G06T5/006—Geometric correction
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component 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
    • G06T5/001—Image restoration
    • G06T5/003—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • 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
    • G06T5/002—Denoising; Smoothing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
    • G01J3/28—Investigating the spectrum
    • 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
    • G06K9/00496—Recognising patterns in signals and combinations thereof
    • G06K9/00503—Preprocessing, e.g. filtering
    • 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]

Similar Documents

Publication Publication Date Title
Akrami et al. Planck 2018 results-IV. Diffuse component separation
Bobin et al. Compressed sensing in astronomy
CN105492878B (en) Apparatus and method for snapshot light spectrum image-forming
Willett et al. Compressed sensing for practical optical imaging systems: a tutorial
US6483952B2 (en) Super resolution methods for electro-optical systems
Li et al. The application of compressive sampling to radio astronomy-i. deconvolution
Connor et al. Deep radio-interferometric imaging with POLISH: DSA-2000 and weak lensing
Hanisch et al. Deconvolution of hubble space telescope images and spectra
Jagatap et al. Sample efficient fourier ptychography for structured data
Cantale et al. Firedec: a two-channel finite-resolution image deconvolution algorithm
Oktem et al. High-resolution multi-spectral imaging with diffractive lenses and learned reconstruction
CN110998259A (en) Coding hole spectrum imaging device
Liaudat et al. Multi-CCD modelling of the point spread function
EP2324456A1 (en) Processing for coded aperture imaging
Degraux et al. Multispectral compressive imaging strategies using Fabry–Pérot filtered sensors
Bahmani et al. Compressive deconvolution in random mask imaging
Plowman et al. SPICE point spread function correction: General framework and capability demonstration
Plowman et al. SPICE PSF Correction: General Framework and Capability Demonstration
Aimé et al. Strategies for the deconvolution of hypertelescope images
Rodet et al. Data inversion for over-resolved spectral imaging in astronomy
Lauga et al. A multilevel framework for accelerating uSARA in radio-interferometric imaging
Baumgartner et al. Transformation of point spread functions on an individual pixel scale
Flaute et al. Resampling and super-resolution of hexagonally sampled images using deep learning
Kar Computational spectral imaging techniques using diffractive lenses and compressive sensing
Stayman et al. An analysis of coded aperture acquisition and reconstruction using multi-frame code sequences for relaxed optical design constraints