PROCESSING MULTI-APERTURE IMAGE DATA

• US 20130033579A1
• Filed: 02/19/2010
• Published: 02/07/2013
• Est. Priority Date: 02/19/2010
• Status: Abandoned Application

• Current Assignee: Dual Aperture International Co. Ltd.
• Original Assignee: Dual Aperture, Inc.
• Inventors: Wajs, Andrew Augustine
• Application Number:
  US13/579,569
• Publication Number:
  US 20130033579A1
• Time in Patent Office: Days
• US Class Current: 348/46
• CPC Class Codes: G02B 7/365 by analysis of the spatial frequency components of the image
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/10048 Infrared image
• CPC Class Codes: G06T 2207/20056 Discrete and fast Fourier transform, [DFT, FFT]
• CPC Class Codes: G06T 7/571 from focus
• CPC Class Codes: H04N 5/33 Transforming infrared radiation cameras or camera modules for generating image signals from infrared radiation H04N23/20; circuitry of SSIS for transforming infrared radiation into image signals H04N25/20

Abstract

A method and a system for processing multi-aperture image data is described wherein the method comprises: capturing image data associated of one or more objects by simultaneously exposing an image sensor in an imaging system to spectral energy associated with at least a first part of the electromagnetic spectrum using at least a first aperture and to spectral energy associated with at least a second part of the electromagnetic spectrum using at least a second aperture; generating first image data associated with said first part of the electromagnetic spectrum and second image data associated with said second part of the electro-magnetic spectrum; and, generating depth information associated with said captured image on the basis of first sharpness information in at least one area of said first image data and second sharpness information in at least one area of said second image data.

Claims

1. A method of processing multi-aperture image data, comprising:

capturing image data associated of one or more objects by simultaneously exposing an image sensor in an imaging system to spectral energy associated with at least a first part of the electromagnetic spectrum using at least a first aperture and to spectral energy associated with at least a second part of the electromagnetic spectrum using at least a second aperture;

generating first image data associated with said first part of the electromagnetic spectrum and second image data associated with said second part of the electromagnetic spectrum; and

,

generating depth information associated with said captured image on the basis of first sharpness information in at least one area of said first image data and second sharpness information in at least one area of said second image data.

2. Method according to claim 1, comprising:

relating a difference between first sharpness information in at least one area of said first image data and second sharpness information in at least one area of said second image data to a distance between said imaging system at least one of said objects.

3. Method according to claim 2, comprising:

relating said difference between said first and second sharpness information to said distance using a predetermined depth function.

4. Method according to claim 1, comprising:

determining first and/or second sharpness information in the spatial domain, or determining said first and/or second sharpness information in the frequency domain.

5. Method according to claim 1, wherein said first part of the electromagnetic spectrum is associated with at least part of the visible spectrum and/or wherein said second part of the electromagnetic spectrum is associated with at least part of the invisible spectrum.

6. Method according to claim 1, comprising:

generating a depth map associated with at least part of said captured image by associating the difference and/or ratio between said first and second sharpness information with a distance between said imaging system and said one or more objects.

7. Method according to claim 1, comprising:

generating at least one image for use in stereoscopic viewing by shifting pixels in said first image data on the basis of said depth information.

8. Method according to claim 1, comprising:

generating high-frequency second image data by subjecting said second image data to a high-pass filter;

providing at least one threshold distance or at least one distance range;

on the basis of said depth information, identifying in said high-frequency second image data one or more areas associated with distances larger or smaller than said threshold distance or identifying in said high-frequency second image data one or more areas associated with distances within said at least one distance range;

setting the high-frequency components in said identified one or more areas of said second high-frequency image data in accordance to a masking function;

adding said modified second high-frequency image data to said first image data.

9. Method according to claim 1, comprising:

generating high-frequency second image data by subjecting said second image data to a high-pass filter;

providing at least one focus distance;

on the basis of said depth information, identifying in said high-frequency second image data one or more areas associated with a distance substantially equal to said at least one focus distance;

setting the high-frequency second image data in areas other than said identified one or more areas in accordance to a masking function;

adding said modified high-frequency second image data to said first image data.

10. Method according to claim 1, comprising:

processing said captured image using an image processing function, wherein one or more image process function parameters are depending on said depth information.

16. Method according to claim 4, wherein:

determining the first and/or second sharpness information in the spatial domain is performed by using a high-pass filter.

17. Method according to claim 4, wherein:

determining said first and/or second sharpness information in the frequency domain is performed by using a Fourier transform.

18. Method according to claim 5, wherein the invisible spectrum is the infrared spectrum.

19. Method according to claim 10, wherein:

said image processing function includes filtering said first and/or second image data, wherein one or more filter parameters of said filter is dependent on said depth information.

11. A method of determining a depth function using multi-aperture image data, comprising:

capturing images of one or more objects at different object to camera distances, each image being captured by simultaneously exposing an image sensor to spectral energy associated with at least a first part of the electromagnetic spectrum using at least a first aperture and to spectral energy associated with at least a second part of the electromagnetic spectrum using at least a second aperture;

for at least part of said captured images, generating first image data associated with said first part of the electromagnetic spectrum and second image data associated with said second part of the electromagnetic spectrum; and

,

generating a depth function by determining a relation between first sharpness information in at least one area of said first image data and second sharpness information in the corresponding area of said second image data as a function of said distances.

12. A signal processing module, comprising:

an input for receiving first image data associated with said first part of the electromagnetic spectrum and second image data associated with said second part of the electromagnetic spectrum;

at least one high-pass filter for determining first sharpness information in at least one area of said first image data and second sharpness information in the corresponding area of said second image data;

a memory comprising a depth function, said depth function comprising a relation between a difference in sharpness information between image data associated with a first part of the electromagnetic spectrum and image data associated with a second part of the electromagnetic spectrum as a function of a distance; and

,

a depth information processor for generating depth information on the basis said depth function and said first and second sharpness information received from said high-pass filter.

14. A digital camera, comprising a signal processing module according to claim 12 and/or a multi-aperture imaging system according to claim 13.

20. The signal processing module according to claim 12, wherein:

the distance is an object to camera distance.

21. The digital camera according to claim 14, wherein:

the digital camera is a digital camera for use in a mobile terminal.

13. A multi-aperture imaging system, comprising:

an image sensor;

an optical lens system;

a wavelength-selective multi-aperture configured for simultaneously exposing said image sensor to spectral energy associated with at least a first part of the electromagnetic spectrum using at least a first aperture and to spectral energy associated with at least a second part of the electromagnetic spectrum using at least a second aperture;

a first processing module for generating first image data associated with said first part of the electromagnetic spectrum and second image data associated with said second part of the electromagnetic spectrum; and

,

a second processing module for generating depth information associated with said image data on the basis of first sharpness information in at least one area of said first image data and second sharpness information in at least one area of said second image data.

15. (canceled)