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WO1998046007A1 - Systeme d'imagerie et procede correspondant - Google Patents

Systeme d'imagerie et procede correspondant Download PDF

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Publication number
WO1998046007A1
WO1998046007A1 PCT/AU1998/000250 AU9800250W WO9846007A1 WO 1998046007 A1 WO1998046007 A1 WO 1998046007A1 AU 9800250 W AU9800250 W AU 9800250W WO 9846007 A1 WO9846007 A1 WO 9846007A1
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WO
WIPO (PCT)
Prior art keywords
mask
apertures
image
opaque
masking
Prior art date
Application number
PCT/AU1998/000250
Other languages
English (en)
Inventor
Donald James Bone
Original Assignee
Commonwealth Scientific And Industrial Research Organisation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Commonwealth Scientific And Industrial Research Organisation filed Critical Commonwealth Scientific And Industrial Research Organisation
Priority to AU68139/98A priority Critical patent/AU6813998A/en
Publication of WO1998046007A1 publication Critical patent/WO1998046007A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/48—Increasing resolution by shifting the sensor relative to the scene
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B2207/00—Coding scheme for general features or characteristics of optical elements and systems of subclass G02B, but not including elements and systems which would be classified in G02B6/00 and subgroups
    • G02B2207/129—Coded aperture imaging
    • 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
    • H04N1/04—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa
    • H04N1/19—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa using multi-element arrays
    • H04N1/195—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa using multi-element arrays the array comprising a two-dimensional array or a combination of two-dimensional arrays
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N2201/00—Indexing scheme relating to scanning, transmission or reproduction of documents or the like, and to details thereof
    • H04N2201/04—Scanning arrangements
    • H04N2201/0402—Arrangements not specific to a particular one of the scanning methods covered by groups H04N1/04 - H04N1/207
    • H04N2201/0458—Additional arrangements for improving or optimising scanning resolution or quality

Definitions

  • This invention relates to imaging systems and methods .
  • imaging system and “imaging method” refer to systems and methods in which radiation is detected and an image produced.
  • radiation is to be given a broad meaning and includes the emission of any rays, wave motion, or particles from a source. It includes light and other form of electromagnetic radiation.
  • image is also to be given a broad meaning and includes all forms of representation of detected radiation including mathematical, digital and analog models representing an actual image, wherein the image is represented by a plurality of distributed signals. The invention has application to improving the resolution of high definition imaging systems and methods .
  • the invention has particular but not exclusive application to imaging systems such as those which utilise charge coupled devices (CCDs) ie digital cameras, camcorders etc and for illustrative purposes reference will be made herein to such devices.
  • CCDs charge coupled devices
  • the invention is also applicable to other imaging systems such as spectrometry for example.
  • imaging systems which improve the signal to noise in an image by using a plurality of different masks on each detector element and combining the results from these masks to construct an image at higher resolution than the detector system.
  • These systems are generally derived from Hadamard matrices and applied in spectroscopic imaging.
  • the present invention aims to provide an alternative to known imaging systems in which radiation is detected and an image which is represented by a plurality of distributed signals is produced, and to known methods of improving the resolution of such imaging systems .
  • This invention in one aspect resides broadly in a method of improving the resolution of an imaging system in which radiation is detected and an image which is represented by a plurality of distributed signals is produced, the method including:- improving the signal to noise ratio of the image.
  • this invention resides broadly in an imaging system in which radiation is detected and an image which is represented by a plurality of distributed signals is produced, the system including:- means for improving the signal to noise ratio of the image .
  • Masking matrices can be constructed which produce a low uniform error. However these so-called S matrices have inconvenient dimensions (3, 7, 15, 19, 23, 31, 35,
  • n x n square masks and hierarchical refinement of the resolution cannot be utilised. Accordingly it is preferred that the masks are chosen so as to allow for square (n x n) arrays of aperture elements for each detector and so that the apertures can be arranged as an embedded set which facilitate heirarchical refinement of the resolution.
  • the distribution of the signal to noise ratio of the image is uniform.
  • the radiation is detected by a charge coupled device having a two-dimensional array of light sensitive detector elements and resolution is enhanced by sequentially masking discrete areas of each detector element with an apertured opaque mask, it is preferred that the signal to noise ratio of the image is improved by means of a coded aperture system.
  • coded aperture system means an aperture system which utilises a series of apertures to sample an image or other extended signal.
  • the apertures modulate the signal on the detector element such that the detector integrates the modulated result over the aperture.
  • the size of the apertured opaque mask substantially corresponds with that of the light sensitive detector elements and that the mask comprises a two-dimensional array of apertures substantially aligned with each detector element, each aperture comprising a two-dimensional array of transparent and/or opaque aperture portions whereby the configuration of the mask can be represented mathematically by a masking matrix, the transparent and opaque aperture portions being represented in the matrix by +1 and 0 respectively.
  • the configuration of the apertured opaque mask is determined by stochastically searching the space of sets of apertures achieved by complementing individual apertures in the set.
  • complementing means changing opaque regions to transparent regions and vice versa. It is preferred that the stochastic searching commences with a canonical set of apertures which does not produce spatially uniform signal-to-noise response in the reconstructed image and progresses until a suitable set of apertures is achieved.
  • this invention resides broadly in a method of determining the configuration of an apertured opaque mask for improving the resolution of an imaging system in which radiation is detected and an image which is represented by a plurality of distributed signals is produced, the size of the mask substantially corresponding with that of the light sensitive detector elements and the mask comprising a two-dimensional array of apertures substantially aligned with each detector element, each aperture comprising a two-dimensional array of transparent and/or opaque aperture portions, the method including:- representing the configuration of the mask mathematically by a masking matrix in which said transparent and opaque portions are represented by +1 and 0 respectively; inverting the masking matrix, and stochastically searching the space of masking matrices achieved by complementing rows of the masking matrix.
  • this invention also resides in an apertured opaque mask for improving the resolution of an imaging system in which radiation is detected and an image which is represented by a plurality of distributed signals is produced, the mask including:- a two-dimensional array of apertures each comprising a two-dimensional array of transparent and/or opaque aperture portions, and the size of the mask substantially corresponding with that of the light sensitive detector elements; wherein the configuration of the transparent and opaque portions is determined in accordance with the method defined above.
  • FIGS 1,3 and 5 illustrate the Haar wave-packet basis (also known as the Hadamard- alsh basis) for 2 x 2, 4 4 and 8 x 8 image blocks respectively;
  • FIGS 2 and 4 illustrate the division of the CCD elements into pixels and the relationship of the pixels to the transform coefficients for the 2 x 2 and 4 x 4 image blocks respectively;
  • FIG 6 illustrates an arrangement of masked detector elements for a linear scanning detector
  • FIG 7 illustrates a set of 4 x 4 pixel apertures with uniform noise sensitivity.
  • This high resolution image block contained within each CCD pixel is sampled by means of the Haar wave-packet expansion.
  • the term "element” will be used to refer to the CCD detector elements and the term "pixel” used to refer to the N x N sub-elements into which the CCD element is divided.
  • Haar wave-packet expansion If the N x N pixels are broken into 2 x 2 blocks, each block can be represented in terms of a basis illustrated in FIG 1. In each of these four weighting functions, the weights are either +1 (black) or -1 (white). Applying these weights to the 2 2 image block will give four coefficients from which the image block samples can be exactly reconstructed.
  • the basis for the 2 x 2 Haar wave-packet transform can be represented with a matrix in which the rows of the matrix are the basis vectors.
  • the division of the CCD element into pixels and the relationship of the pixels to the transform coefficients is illustrated for the case above by FIG 2.
  • the shaded coefficients are drawn from the shaded set of pixels by the transformation in equation 1.
  • the reconstruction of the pixel values from the basis coefficients for a single block is given by equation 2.
  • the N x N pixel image block can therefore be represented as four N/2 x N/2 sub-band image blocks.
  • Each N/2 x N/2 sub-band block can itself be encoded as four N/4 x N/4 sub-band blocks, using the same 2 x 2 block coding scheme.
  • this can be viewed as a single step encoding of the original N x N block by breaking the block into 4 x 4 pixel blocks and filtering with the weighting filters illustrated in FIG 3 which is equivalent to a two-dimensional Hadamard/ alsh basis.
  • each weighting function consists of a 4 x 4 array.
  • the blocking of the pixels in the CCD element is illustrated in FIG 4.
  • the pixels in the shaded region are used to generate the shaded coefficients.
  • the matrix form of the 4 x 4 block coding is given in equation 3.
  • a row of the matrix corresponds to a single block in the mask (one of the 4 x 4 regions) and yet the whole matrix has the same pattern as in the mask.
  • N 2 weighting functions each of N x N values and the resulting sub-bands consist of single values.
  • the matrix form has the same pattern of 1 and -1 elements as the set of masks, with black interpreted as 1 and white interpreted as -1. Because the coefficients are single values the masks can be used to sample the image, one coefficient value being derived from a detector masked by one of each of the masks. Given this sampling of an image block, the image block can be constructed from the samples by using the inverse of the matrix.
  • the matrix is easily constructed by a process which starts with just the first row vector, which is all l's.
  • the process is illustrated with the Matlab source code below: -
  • A ones ( l,xSz) ;
  • the family of matrices generated by this algorithm is referred to as ⁇ N 2 .
  • the family of matrices can serve as either a one-dimensional linear basis for vectors of length N 2 or, through the unusual symmetry mentioned above, as a two-dimensional basis for blocks of N x N pixels .
  • the inverse of the matrix is the same as the matrix except for a factor of l/N 2 .
  • an image block can be sampled with multiplicative intensity masks corresponding to an orthogonal basis for images within the block.
  • intensity measured by the detector element is strictly positive, negative values in the intensity mask are difficult to support. Practical difficulties also mean that a continuously variable mask is difficult to achieve with any accuracy.
  • the Haar wave-packet basis described above is strictly binary valued with a weighting factor of 1 or -1. If the basis is modified slightly and all the -1 masking factors set to zero, the resulting mask can easily be achieved with opaque masking.
  • This set of weighting functions is a complete (although non-orthogonal) basis for the image block.
  • the matrix representation of the resulting basis for 4 4 blocks is given in equation 5.
  • Equation 5 is more succinctly written as
  • the inverse matrix M AXT is in general
  • Q -.N 2 is an ⁇ 2 x ⁇ 2 matrix with zeros everywhere except in the top left coefficient which is 1. This can be verified by checking the product
  • I k is the k x k identity matrix.
  • the sampling process for the k th n x n block of pixels in the image (of the size of a CCD element) consists of integrating the intensity through each of the N 2 masks represented by the matrix vi 2 to derive the set of coefficients c ⁇
  • the pixel values can then be recovered by simply applying the transform
  • the arrangement of the blocks for most efficient acquisition of the image depends on the application. For many applications, the most efficient acquisition is achieved when the masks are arranged so that each sequence of N 2 masks is in a row with the masks in each column being identical. This sequence could be repeated to reduce the scan size if necessary. However if the total acquisition time is not critical the scanning head need only be N 2 elements wide and could be as high as is necessary to cover the image.
  • the array is moved in a linear scan, as indicated in FIG 6, in steps of the CCD element separation. The output of each element can be recorded at each step to build a set of coefficients for each block.
  • the masks in FIG 6 are arranged in scale order so that the first 4 elements can be used to reconstruct to a resolution of 1/2 the CCD element size; the first 16 elements can be used to reconstruct to a resolution of 1/4 the CCD element size etc. This allows variable (dyadic) resolution scanning with identical scanning geometry from the same detector.
  • each detector element has associated with it zero-mean additive Gaussian-distributed noise. This is a reasonable approximation to the behaviour of a real detector because much of the noise is due to thermal processes and is substantially independent of the light falling on the detector. The signal then looks like
  • Each pixel is subject to the noise from a single measurement.
  • the noise from a single measurement.
  • This spatially variable noise can be corrected without affecting the mean square response by redistributing the noise on the reconstructed image.
  • N 2 x N 2 matrix X N 2 , ⁇ when multiplied on the left of the masking matrix M ⁇ . complements the i th masking vectors ie the complementing process turns l's to 0 ' s and 0 ' s to l's in one row of M N . - X n ⁇ , i will be the identity matrix with the i h row modified so that the first element is 1 and the diagonal element is -1. This produces a modified masking matrix
  • Ntf 'O.'i .,] X N , ⁇ X N , i, X N- ⁇ M ⁇ A ⁇ - (28)
  • ⁇ ⁇ 1 [ 0 c, ... c N2 _ (30)
  • Equation 34 then becomes
  • N must be an even integer.
  • N is a power of 2
  • a row, i, of the masking matrix which has already been complemented is then randomly chosen together with a row, j, of the masking matrix which has not been complemented. These two rows are then effectively complemented leaving the masking matrix with the same total number of complemented rows with respect to M .
  • the first column of the inverse of the masking matrix is then checked and if it has the same magnitude for all components, a set of masks has been derived which produce the desired uniform noise sensitivity in the reconstruction.
  • FIG 7. An example of a set of masks configured by this process is illustrated in FIG 7. It can be seen that the masks have the same form as the original masks illustrated in FIG 3 except that five of them are the complements of the original masks.
  • the method and system of the present invention has a number of advantages over known imaging systems in which radiation is detected and an image which is represented by a plurality of distributed signals is produced, and over known methods of improving the resolution of such imaging systems .
  • the performance of high definition cameras incorporating the system and method of the present invention has the advantage of using the same number of samples but in such a way that each aperture transmits at least 50% of the incoming flux onto the CCD. This reduces the lighting requirements and at the same time improves the signal to noise ratio.
  • the present invention permits the use of a linearly scanned imaging detector with larger sensing elements than the required resolution. This allows the use of coarser features in the integrated circuits of the detector than would be required for a fixed resolution detector of equivalent effective resolution. This results in higher yields and cheaper production technology for the chips, whereby apparatus in accordance with the invention can be fabricated at lower cost than standard devices with similar resolution.
  • the scanning of the detector consists of a single linear scan of the device across the image plane. This simpler geometry has advantages in terms of the mechanical system required and the speed with which it can be effectively scanned, thus allowing the device to take advantage of the improved signal to noise performance.
  • the set of masks can be arranged such that the first four masks can be used to reconstruct an image with twice the resolution and the first 16 masks can be used to construct an image with four times the resolution etc .
  • This embedded construction allows for adaptive resolution changes with a single set of masks.
  • Reduced exposure times means that the device can more easily be used on live subjects and in more normal lighting conditions than prior art technology.
  • the linear scan means that the technology is suitable for use in scanning imaging devices such as flat bed scanners, drum scanners, or film scanners .

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  • Multimedia (AREA)
  • Signal Processing (AREA)
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Abstract

L'invention concerne un procédé d'amélioration de la résolution d'un système d'imagerie caractérisé en ce que le rayonnement est détecté et qu'une image représentée par une pluralité de signaux distribués est produite. Le procédé consiste à améliorer le rapport signal/bruit de l'image. Le rayonnement est détecté par un cellule CCD présentant une matrice bidimensionnelle d'éléments détecteurs photosensibles et la résolution est améliorée par un masquage séquentiel de zones discrètes de chaque élément détecteur avec un masque opaque perforé sélectionné de manière à constituer des matrices carrées n par n d'éléments à orifice pour chaque détecteur et à ce que les orifices soient montés sous forme d'un ensemble inclus ce qui facilite la définition fine en mode hiérarchique de la résolution.
PCT/AU1998/000250 1997-04-10 1998-04-09 Systeme d'imagerie et procede correspondant WO1998046007A1 (fr)

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Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1198119A3 (fr) * 2000-10-11 2004-05-26 Charles E. Parsons Résolution améliorée d'un réseau de capteur d'image électrique
WO2004102958A1 (fr) * 2003-05-13 2004-11-25 Xceed Imaging Ltd. Procede optique et systeme associe permettant d'ameliorer une resolution d'image
GB2434934A (en) * 2006-02-06 2007-08-08 Qinetiq Ltd Processing coded aperture image data by applying weightings to aperture functions and data frames
US7888626B2 (en) 2005-05-23 2011-02-15 Qinetiq Limited Coded aperture imaging system having adjustable imaging performance with a reconfigurable coded aperture mask
US7923677B2 (en) 2006-02-06 2011-04-12 Qinetiq Limited Coded aperture imager comprising a coded diffractive mask
US7969639B2 (en) 2006-02-06 2011-06-28 Qinetiq Limited Optical modulator
EP2354840A1 (fr) * 2010-02-05 2011-08-10 Siemens Aktiengesellschaft Appareil et procédé pour effectuer une mesure de différence d'une image d'objet
US8017899B2 (en) 2006-02-06 2011-09-13 Qinetiq Limited Coded aperture imaging using successive imaging of a reference object at different positions
US8035085B2 (en) 2006-02-06 2011-10-11 Qinetiq Limited Coded aperture imaging system
US8068680B2 (en) 2006-02-06 2011-11-29 Qinetiq Limited Processing methods for coded aperture imaging
CN102566324A (zh) * 2005-08-31 2012-07-11 Asml荷兰有限公司 光刻装置和补偿中间掩模版引入的cdu的器件制造方法
US8229165B2 (en) 2006-07-28 2012-07-24 Qinetiq Limited Processing method for coded aperture sensor
US8243353B1 (en) 2008-04-07 2012-08-14 Applied Science Innovations, Inc. Holography-based device, system and method for coded aperture imaging
CN102890974A (zh) * 2012-10-16 2013-01-23 中国科学院高能物理研究所 编码孔径成像系统及其编码码板
EP2590399A1 (fr) * 2011-11-07 2013-05-08 Raytheon Company Capteur amélioré d'hadamard
US8463048B2 (en) 2010-02-05 2013-06-11 Siemens Aktiengesellschaft Method and an apparatus for difference measurement of an image
WO2013171738A1 (fr) 2012-05-13 2013-11-21 Elbit Systems Electro-Optics Elop Ltd. Détecteur infrarouge ayant une meilleure résolution d'image
JP2015510110A (ja) * 2012-01-03 2015-04-02 アセンティア イメージング， インコーポレイテッド 符号化ローカライゼーションシステム、方法および装置
EP2987181A4 (fr) * 2013-12-13 2016-11-30 Bio Rad Laboratories Imagerie numérique à pixels masqués
US9736388B2 (en) 2013-12-13 2017-08-15 Bio-Rad Laboratories, Inc. Non-destructive read operations with dynamically growing images
US9774804B2 (en) 2013-12-13 2017-09-26 Bio-Rad Laboratories, Inc. Digital imaging with masked pixels
EP3496392A1 (fr) * 2017-12-08 2019-06-12 Nokia Technologies Oy Ouvertures complémentaires pour réduire un effet de diffraction
CN112236715A (zh) * 2018-06-27 2021-01-15 三星电子株式会社 用于增强现实的装置和方法
US11861849B2 (en) 2020-05-03 2024-01-02 Elbit Systems Electro-Optics Elop Ltd Systems and methods for enhanced motion detection, object tracking, situational awareness and super resolution video using microscanned images

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Cited By (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1198119A3 (fr) * 2000-10-11 2004-05-26 Charles E. Parsons Résolution améliorée d'un réseau de capteur d'image électrique
WO2004102958A1 (fr) * 2003-05-13 2004-11-25 Xceed Imaging Ltd. Procede optique et systeme associe permettant d'ameliorer une resolution d'image
US7800683B2 (en) 2003-05-13 2010-09-21 Xceed Imaging Ltd. Optical method and system for enhancing image resolution
US7888626B2 (en) 2005-05-23 2011-02-15 Qinetiq Limited Coded aperture imaging system having adjustable imaging performance with a reconfigurable coded aperture mask
CN102566324A (zh) * 2005-08-31 2012-07-11 Asml荷兰有限公司 光刻装置和补偿中间掩模版引入的cdu的器件制造方法
US7923677B2 (en) 2006-02-06 2011-04-12 Qinetiq Limited Coded aperture imager comprising a coded diffractive mask
US7969639B2 (en) 2006-02-06 2011-06-28 Qinetiq Limited Optical modulator
US8017899B2 (en) 2006-02-06 2011-09-13 Qinetiq Limited Coded aperture imaging using successive imaging of a reference object at different positions
US8035085B2 (en) 2006-02-06 2011-10-11 Qinetiq Limited Coded aperture imaging system
US8068680B2 (en) 2006-02-06 2011-11-29 Qinetiq Limited Processing methods for coded aperture imaging
US8073268B2 (en) 2006-02-06 2011-12-06 Qinetiq Limited Method and apparatus for coded aperture imaging
GB2434934A (en) * 2006-02-06 2007-08-08 Qinetiq Ltd Processing coded aperture image data by applying weightings to aperture functions and data frames
US8229165B2 (en) 2006-07-28 2012-07-24 Qinetiq Limited Processing method for coded aperture sensor
US8243353B1 (en) 2008-04-07 2012-08-14 Applied Science Innovations, Inc. Holography-based device, system and method for coded aperture imaging
EP2354840A1 (fr) * 2010-02-05 2011-08-10 Siemens Aktiengesellschaft Appareil et procédé pour effectuer une mesure de différence d'une image d'objet
US8463048B2 (en) 2010-02-05 2013-06-11 Siemens Aktiengesellschaft Method and an apparatus for difference measurement of an image
EP2590399A1 (fr) * 2011-11-07 2013-05-08 Raytheon Company Capteur amélioré d'hadamard
US10110834B2 (en) 2011-11-07 2018-10-23 Raytheon Company Hadamard enhanced sensors
JP2015510110A (ja) * 2012-01-03 2015-04-02 アセンティア イメージング， インコーポレイテッド 符号化ローカライゼーションシステム、方法および装置
US9894292B2 (en) 2012-05-13 2018-02-13 Elbit Systems Electro-Optics Elop Ltd. Infrared detector with increased image resolution and method for use thereof
WO2013171738A1 (fr) 2012-05-13 2013-11-21 Elbit Systems Electro-Optics Elop Ltd. Détecteur infrarouge ayant une meilleure résolution d'image
US10547799B2 (en) 2012-05-13 2020-01-28 Elbit Systems Electro-Optics Elop Ltd. Infrared detector with increased image resolution
CN102890974B (zh) * 2012-10-16 2015-09-02 中国科学院高能物理研究所 编码孔径成像系统及其编码码板
CN102890974A (zh) * 2012-10-16 2013-01-23 中国科学院高能物理研究所 编码孔径成像系统及其编码码板
EP2987181A4 (fr) * 2013-12-13 2016-11-30 Bio Rad Laboratories Imagerie numérique à pixels masqués
US10104307B2 (en) 2013-12-13 2018-10-16 Bio-Rad Laboratories, Inc. Non-destructive read operations with dynamically growing images
US9774804B2 (en) 2013-12-13 2017-09-26 Bio-Rad Laboratories, Inc. Digital imaging with masked pixels
US10326952B2 (en) 2013-12-13 2019-06-18 Bio-Rad Laboratories, Inc. Digital imaging with masked pixels
US9736388B2 (en) 2013-12-13 2017-08-15 Bio-Rad Laboratories, Inc. Non-destructive read operations with dynamically growing images
EP3496392A1 (fr) * 2017-12-08 2019-06-12 Nokia Technologies Oy Ouvertures complémentaires pour réduire un effet de diffraction
CN112236715A (zh) * 2018-06-27 2021-01-15 三星电子株式会社 用于增强现实的装置和方法
CN112236715B (zh) * 2018-06-27 2023-04-04 三星电子株式会社 用于增强现实的装置和方法
US11861849B2 (en) 2020-05-03 2024-01-02 Elbit Systems Electro-Optics Elop Ltd Systems and methods for enhanced motion detection, object tracking, situational awareness and super resolution video using microscanned images

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