SYSTEMS AND METHODS FOR DECODING LIGHT FIELD IMAGE FILES HAVING DEPTH AND CONFIDENCE MAPS

• US 20140376826A1
• Filed: 09/09/2014
• Published: 12/25/2014
• Est. Priority Date: 09/28/2011
• Status: Active Grant

• Current Assignee: FotoNation Limited (Adeia Inc.)
• Original Assignee: Pelican Imaging Corporation
• Inventors: Venkataraman, Kartik, Nisenzon, Semyon, Lelescu, Dan
• Granted Patent: US 9,025,894 B2
• Time in Patent Office: Days
• US Class Current: 382/233
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 2207/10052 Images from lightfield camera
• CPC Class Codes: G06T 3/4007 based on interpolation, e.g. bilinear interpolation image demosaicing G06T3/4015; edge-driven or edge-based scaling G06T3/403
• CPC Class Codes: G06T 3/4053 based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
• CPC Class Codes: G06T 7/50 Depth or shape recovery
• CPC Class Codes: G06T 7/596 from three or more stereo images
• CPC Class Codes: G06T 9/00 Image coding bandwidth or redundancy reduction for static pictures H04N1/41; coding or decoding of static colour picture signals H04N1/64; methods or arrangements for coding, decoding, compressing or decompressing digital video signals H04N19/00
• CPC Class Codes: G06T 9/20 Contour coding, e.g. using detection of edges
• CPC Class Codes: H04N 13/128 Adjusting depth or disparity
• CPC Class Codes: H04N 13/139 Format conversion, e.g. of frame-rate or size
• CPC Class Codes: H04N 13/161 Encoding, multiplexing or demultiplexing different image signal components for multi-view video sequence encoding H04N19/597
• CPC Class Codes: H04N 13/178 Metadata, e.g. disparity information
• CPC Class Codes: H04N 13/243 using three or more 2D image sensors
• CPC Class Codes: H04N 13/271 wherein the generated image signals comprise depth maps or disparity maps
• CPC Class Codes: H04N 19/136 Incoming video signal characteristics or properties
• CPC Class Codes: H04N 19/593 involving spatial prediction techniques
• CPC Class Codes: H04N 19/597 specially adapted for multi-view video sequence encoding
• CPC Class Codes: H04N 19/625 using discrete cosine transform [DCT]
• CPC Class Codes: H04N 19/70 characterised by syntax aspects related to video coding, e.g. related to compression standards
• CPC Class Codes: H04N 19/85 using pre-processing or post-processing specially adapted for video compression
• CPC Class Codes: H04N 2013/0081 : Depth or disparity estimation from stereoscopic image signals

Abstract

Systems and methods in accordance with embodiments of the invention are configured to render images using light field image files containing an image synthesized from light field image data and metadata describing the image that includes a depth map. One embodiment of the invention includes a processor and memory containing a rendering application and a light field image file including an encoded image and metadata describing the encoded image, where the metadata comprises a depth map that specifies depths from the reference viewpoint for pixels in the encoded image. In addition, the rendering application configures the processor to: locate the encoded image within the light field image file; decode the encoded image; locate the metadata within the light field image file; and post process the decoded image by modifying the pixels based on the depths indicated within the depth map to create a rendered image.

Claims

1. A system for rendering an image using a light field image file, the system comprising:

a processor; and

memory containing a rendering application and a light field image file;

wherein the light field image file comprises;

an encoded image; and

metadata describing the encoded image stored within an application marker segment within the light field image file;

wherein the metadata comprises;

a depth map that specifies depths for pixels in the encoded image; and

a confidence map for the depth map, where the confidence map indicates the reliability of the depth values provided for pixels by the depth map; and

wherein the rendering application directs the processor to render an image by applying post processing to the encoded image using metadata contained within the light field image by;

locating the encoded image within the light field image file by locating a start of image marker within the light field image file;

decoding the encoded image;

locating the metadata within the light field image file; and

processing the decoded image by modifying the pixels of the decoded image based on the depths of the pixels indicated within the depth map and the reliability of the depth values indicated within the confidence map to create a rendered image by applying a depth based effect to the pixels of the decoded image.

2. The system of claim 1, wherein the depth based effect comprises at least one effect selected from the group consisting of:

modifying the focal plane of the decoded image;

modifying the depth of field of the decoded image;

modifying the blur in out-of-focus regions of the decoded image;

locally varying the depth of field of the decoded image;

creating multiple focus areas at different depths within the decoded image; and

applying a depth related blur.

3. The system of claim 1, wherein the encoded image is an image of a scene synthesized from a reference viewpoint using a plurality of images that capture the scene from different viewpoints.

4. The system of claim 1, wherein the depth map is generated based on the plurality of images that capture the scene from different viewpoints.

5. The system of claim 1, wherein:

the metadata in the light field image file further comprises pixels from the plurality of images that are occluded from a reference viewpoint; and

the rendering application configuring the processor to process the decoded image by modifying the pixels based on the depths indicated within the depth map to create the rendered image comprises rendering an image from a different viewpoint using the depth map, the confidence map, and the pixels from the plurality of images that are occluded in the reference viewpoint.

6. The system of claim 5, wherein:

the metadata in the light field image file includes descriptions of the pixels from the plurality of images that are occluded in the reference viewpoint including the color, location, and depth of the occluded pixels; and

rendering an image from a different viewpoint using the depth map, the confidence map, and the pixels that are occluded in the reference viewpoint from the plurality of images further comprises;

shifting pixels from the decoded image and the occluded pixels in the metadata to the different viewpoint based upon the depths of the pixels;

determining pixel occlusions; and

generating an image from the different viewpoint using the shifted pixels that are not occluded and by interpolating to fill in missing pixels using adjacent pixels that are not occluded.

7. The system of claim 5, wherein the image rendered from the different viewpoint is part of a stereo pair of images.

8. The system of claim 1, wherein:

the metadata in the light field image file further comprises an edge map that indicates pixels in the decoded image that lie on a discontinuity; and

rendering an image from a different viewpoint using the depth map, the confidence map, and the pixels from the plurality of images that are occluded in the reference viewpoint further comprises applying at least one filter based upon the edge map.

9. The system of claim 8, wherein the edge map identifies whether a pixel lies on an intensity discontinuity.

10. The system of claim 8, wherein the edge map identifies whether a pixel lies on an intensity and depth discontinuity.

11. The system of claim 8, wherein the edge map is losslessly encoded.

12. The system of claim 8, wherein the edge map is encoded using lossy compression.

13. The system of claim 1, wherein:

the metadata in the light field image file further comprises a missing pixel map that indicates pixels in the decoded image that do not correspond to a pixel from the plurality of images of the scene and that are generated by interpolating pixel values from adjacent pixels in the synthesized image; and

rendering an image from a different viewpoint using the depth map, the confidence map, and the pixels from the plurality of images that are occluded in the reference viewpoint further comprises ignoring pixels based upon the missing pixel map.

14. The system of claim 13, wherein the missing pixel map is losslessy encoded.

15. The system of claim 13, wherein the missing pixel map is encoded using lossy compression.

16. The system of claim 1, wherein the depth map is losslessly encoded.

17. The system of claim 16, wherein the rendering application directs the processor to decode the depth map using a JPEG decoder.

18. The system of claim 1, wherein the depth map is encoded using lossy compression.

19. The system of claim 1, wherein the confidence map is losslessly encoded.

20. The system of claim 1, wherein the confidence map is encoded using lossy compression.

21. The system of claim 1, wherein:

the memory further comprises a JPEG decoder application;

the light field image file is encoded according to the JPEG standard; and

the rendering application further directs the processor to decode the encoded image using the JPEG decoder.

22. The system of claim 21, wherein the light field image file is structured using the Exchangeable image file (Exif) format.

23. The system of claim 22, wherein the application marker segment is identified using an APP1 marker that is used to identify the Exif data.

24. The system of claim 1, wherein the confidence map is utilized in the processing of the decoded image in order to apply different filters in areas of the decoded image in order to improve the image quality of the decoded image based on the reliability of the depth values indicated within the depth map.

25. The system of claim 24, wherein the confidence map is utilized to modify the F number of different portions of the decoded image as part of processing of the decoded image.

26. A method for decoding a light field image file comprising an encoded image and metadata describing the encoded image, the method comprising:

locating the encoded image within the light field image file using an image rendering system;

decoding the encoded image using the image rendering system;

locating the metadata within the light field image file using the image rendering system, where the metadata comprises;

a depth map that specifies depths for pixels in the encoded image; and

a confidence map for the depth map, where the confidence map indicates the reliability of the depth values provided for pixels by the depth map; and

processing the decoded image by modifying the pixels of the decoded image based on the depths of the pixels indicated within the depth map and the reliability of the depth values indicated within the confidence map to create a rendered image by applying a depth based effect to the pixels of the decoded image using the image rendering system.

27. A non-transitory machine readable medium containing processor instructions, where execution of the instructions by a processor causes the processor to perform a process comprising:

locating an encoded image within a light field image, where the light field image comprises the encoded image and metadata describing the encoded image;

decoding the encoded image;

locating the metadata within the light field image file, where the metadata comprises;

a depth map that specifies depths for pixels in the encoded image; and

a confidence map for the depth map, where the confidence map indicates the reliability of the depth values provided for pixels by the depth map; and

processing the decoded image by modifying the pixels of the decoded image based on the depths of the pixels indicated within the depth map and the reliability of the depth values indicated within the confidence map to create a rendered image by applying a depth based effect to the pixels of the decoded image.