IP Library Granted Patent US 11,436,711
Granted Patent B2
US 11,436,711 · App. 17/062,597 · Granted Sep 6, 2022

System and method for improving an image characteristic of image frames in a video stream

Inventors: Randall J. St. Romain, II (Clifton, VA); Ambrose J. Slone (Ashburn, VA); Péter L. Venetianer (McLean, VA)
Assignee: Aeva, Inc.
G06T5/009G06T5/008G06T5/40G06T5/50G06T2207/10016G06T2207/20224
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,436,711
App. No.
17/062,597
Filed
Oct 4, 2020
Granted
Sep 6, 2022
Kind
B2
Art Unit
2669
USPC
382/274
Abstract

A system and method for improving a video characteristic of a video stream is described. According to various implementations of the invention, a changed region between a later-in-time image frame and an earlier-in-time image frame and an unchanged region between such two image frames are determined. A new improvement to the video characteristic is determined and applied to the changed region of the later-in-time image frame. A prior improvement to the video characteristic that was determined for the earlier-in-time image frame is applied to the unchanged region of the later-in-time image frame.

Claims (32)

1. A method for improving contrast in a plurality of image frames captured by a video camera, the method comprising:

determining, by a computing processor, a changed region in a second frame of the plurality of image frames in relation to a first frame of the plurality of the image frames and an unchanged region of the second frame of the plurality of image frames in relation to the first frame of the plurality of the image frames, wherein the changed region is determined based on a number of pixels in the second frame that differ from corresponding pixels in the first frame;

generating a transformation function corresponding to the changed region of the second frame;

applying the transformation function only to the changed region of the second frame to improve the contrast of the changed region.

2. The method of claim 1 , wherein generating a transformation function corresponding to the changed region of the second frame comprises:

generating a histogram for the first frame.

3. The method of claim 2 , wherein generating a histogram for the first frame comprises:

generating a plurality of histograms for the first frame, each of the plurality of histograms corresponding to one of a plurality of regions of the first frame.

4. The method of claim 3 , wherein generating a transformation function corresponding to the changed region of the second frame comprises:

generating a first plurality of transformation functions, each of the plurality of transformation functions corresponding to one of the plurality of regions of the first frame.

5. A method for improving contrast of a plurality of image frames in a video stream captured by a video camera, the method comprising:

determining, by a computing processor, a changed region of a later-in-time image frame of the plurality of image frames relative to an earlier-in-time image frame and an unchanged region of the later-in-time image frame of the plurality of image frames relative to the earlier-in-time image frame;

determining, by the computing processor, a new CLAHE transformation for the changed region of the later-in-time image frame of the plurality of image frames; and

applying, by the computing processor, the new CLAHE transformation only to the changed region of the later-in-time image frame of the plurality of image frames.

6. A method for improving an image characteristic of a plurality of image frames in a video stream captured by a video camera, the method comprising:

determining, by a computing processor, a changed region of a second frame of the plurality of image frames in relation to a first frame of the plurality of the image frames and an unchanged region of the second frame of the plurality of image frames in relation to the first frame of the plurality of the image frames, wherein the changed region is determined based on a number of pixels in the second frame that differ from corresponding pixels in the first frame;

determining, by a computing processor, an improvement to the image characteristic for the changed region of the second frame of the plurality of image frames; and

applying, by a computing processor, the improvement only to the image characteristic of the changed region of the second frame of the plurality of image frames.

7. The method of claim 6 , wherein determining an improvement to the image characteristic for the changed region of the second frame of the plurality of image frames comprises:

generating a histogram for the changed region of the second frame.

8. The method of claim 7 , wherein determining an improvement to the image characteristic for the changed region of the second frame of the plurality of image frames further comprises:

generating a transformation function from the histogram for the changed region of the second frame.

9. The method of claim 8 , wherein applying the improvement to the image characteristic of the changed region of the second frame of the plurality of image frames comprises:

applying the transformation function to the changed region of the second frame.

10. The method of claim 9 , wherein applying the transformation function to the changed region of the second frame comprises:

applying the transformation function to each of a plurality of pixels in the changed region of the second frame.

11. The method of claim 1 , wherein the transformation function comprises a scaling function or a shifting function.

12. The method of claim 1 , wherein the transformation function comprises a CLAHE transformation function.

13. The method of claim 1 , wherein the transformation function comprises a two-dimensional image transformation function.

14. The method of claim 8 , wherein the transformation function comprises a scaling function or a shifting function.

15. The method of claim 8 , wherein the transformation function comprises a CLAHE transformation function.

16. The method of claim 8 , wherein the transformation function comprises a two-dimensional image transformation function.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 17, 2021
From: MVI (ABC), LLC
To: AEVA, INC.
Reel/Frame 058533/0549 →
RELEASE OF SECURITY INTEREST Recorded Dec 17, 2021
From: HORIZON TECHNOLOGY FINANCE CORPORATION
To: STEREOVISION IMAGING, INC.
Reel/Frame 058533/0569 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 15, 2021
From: STEREOVISION IMAGING, INC.
To: MVI (ABC), LLC
Reel/Frame 058520/0078 →