3-D Localization And Imaging of Dense Arrays of Particles
US-2018268185-A1 · Sep 20, 2018 · US
US11257229B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11257229-B2 |
| Application number | US-201916701257-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 3, 2019 |
| Priority date | Jun 10, 2014 |
| Publication date | Feb 22, 2022 |
| Grant date | Feb 22, 2022 |
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A method of processing an image is disclosed. The method comprises decomposing the image into a plurality of channels, each being characterized by a different depth-of-field, and accessing a computer readable medium storing an in-focus dictionary defined over a plurality of dictionary atoms, and an out-of-focus dictionary defined over a plurality of sets of dictionary atoms, each set corresponding to a different out-of-focus condition. The method also comprises computing one or more sparse representations of the decomposed image over the dictionaries.
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What is claimed is: 1. A method of processing an image, comprising: decomposing the image into a plurality of channels, each being characterized by a different depth-of-field; accessing a computer readable medium storing an in-focus dictionary defined over a plurality of dictionary atoms, and an out-of-focus dictionary defined over a plurality of sets of dictionary atoms, each set corresponding to a different out-of-focus condition; computing a representation of said decomposed image over said out-of-focus dictionary; and using said computed representation and atoms of said in-focus dictionary for sharpening the image. 2. The method of claim 1 , wherein said decomposing is done optically at the time of image capture. 3. The method of claim 1 , wherein said decomposing is done by digital image processing. 4. The method according to claim 1 , wherein said representation is computed such that different region of said image have different defocus conditions. 5. The method according to claim 4 , further comprising constructing a depth map of the scene, based on said representation. 6. The method according to claim 5 , wherein said depth map is constructed based on a single image frame. 7. The method according to claim 1 , wherein said plurality of channels is a plurality of color channels. 8. The method according to claim 1 , comprising dividing said image into a plurality of patches, wherein said expressing is executed for each patch separately. 9. The method according to claim 1 , wherein each atom of at least a portion of said atoms of said in-focus dictionary is characterized by a spatial frequency which is at most a floor value of half a length of said atom. 10. A method of imaging, comprising: capturing an image of a scene using an imaging device having an optical mask selected to optically decompose said image into a plurality of channels, each being characterized by a different depth-dependence of a spatial frequency response of said imaging device; accessing a computer readable medium storing an in-focus dictionary defined over a plurality of dictionary atoms, and an out-of-focus dictionary defined over a plurality of sets of dictionary atoms, each set corresponding to a different out-of-focus condition; computing a representation of said decomposed image over said out-of-focus dictionary; and using said computed representation and atoms of said in-focus dictionary for sharpening the image. 11. The method according to claim 10 , further comprising constructing a depth map of the scene, based on said representation. 12. The method according to claim 11 , further comprising generating a three-dimensional image based on said depth map. 13. The method according to claim 11 , wherein said depth map is constructed based on a single image frame. 14. The method according to claim 10 , wherein each atom of at least a portion of said atoms of said in-focus dictionary is characterized by a spatial frequency which is at most a floor value of half a length of said atom. 15. An imaging system, comprise: an imaging device having an optical mask and being configured for capturing an image of a scene, wherein said optical mask is selected to optically decompose said image into a plurality of channels, each being characterized by a different depth-dependence of a spatial frequency response of said imaging device; a computer readable medium storing an in-focus dictionary defined over a plurality of dictionary atoms, and an out-of-focus dictionary defined over a plurality of sets of dictionary atoms, each set corresponding to a different out-of-focus condition; and a data processor configured for accessing said computer readable medium, for computing a representation of said decomposed image over said out-of-focus dictionary, and for using said computed representation and atoms of said in-focus dictionary for sharpening the image. 16. A portable device, comprising the imaging system of claim 15 . 17. The portable device of claim 16 , being selected from the group consisting of a cellular phone, a smartphone, a tablet device, a mobile digital camera, a wearable camera, a personal computer, a laptop, a portable media player, a portable gaming device, a portable digital assistant device, and a portable navigation device. 18. The imaging system according to claim 15 , wherein said data processor is configured for constructing a depth map of the scene, based on said representation. 19. The imaging system according to claim 18 , wherein said data processor is configured for generating a three-dimensional image based on said depth map. 20. The imaging system according to claim 18 , wherein said depth map is constructed based on a single image frame.
Color image · CPC title
involving computational photography · CPC title
from focus · CPC title
using two or more images, e.g. averaging or subtraction · CPC title
Depth or shape recovery · CPC title
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