IP Library Granted Patent US 9,094,648
Granted Patent B2
US 9,094,648 · App. 14/535,036 · Granted Jul 28, 2015

Tone mapping for low-light video frame enhancement

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Quick Facts
Patent No.
US 9,094,648
App. No.
14/535,036
Granted
Jul 28, 2015
Kind
B2
Abstract

A technique is provided for generating sharp, well-exposed, color images from low-light images. A series of under-exposed images is acquired. A mean image is computed and a sum image is generated each based on the series of under-exposed images. Chrominance variables of pixels of the mean image are mapped to chrominance variables of pixels of the sum image. Chrominance values of pixels within the series of under-exposed images are replaced with chrominance values of the sum image. A set of sharp, well-exposed, color images is generated based on the series of under-exposed images with replaced chrominance values.

Claims (64)

1. An image acquisition and processing device, comprising:

an image acquisition unit configured to:

acquire a plurality of sharp images of a scene; and

acquire a blurred image nominally of the same scene;

an image combining unit configured to:

generate a first combined image based, at least in part, on a first sharp image, from the plurality of sharp images, and color information of the blurred image; and

generate a second combined image based, at least in part, on a second sharp image, from the plurality of sharp images, and the first combined image;

wherein the first sharp image is different than the second sharp image; and

an image display unit configured to:

display the second combined image.

2. The image acquisition and processing device of claim 1 ,

wherein the first combined image is generated using also luminance information of the blurred image;

wherein the first combined image and a second combined image are color-enhanced and a luminance-enhanced versions of the first sharp image; and

wherein the second combined image appears less blurred than the blurred image.

3. The image acquisition and processing device of claim 1 ,

wherein pixels of the blurred image exhibit a greater motion blurring effect than pixels of the sharp image.

4. The image acquisition and processing device of claim 1 , wherein the blurred image is acquired by digitally exposing pixels of a sensor array for an exposure time that is longer than respective exposure times during which each image of the plurality of sharp images is acquired.

5. The image acquisition and processing device of claim 1 , wherein the blurred image nominally of the same scene is overexposed.

6. The image acquisition and processing device of claim 1 ,

wherein each image of the plurality of sharp images is represented in an RGB format; and

wherein the blurred image is represented in the RGB format.

7. The image acquisition and processing device of claim 1 ,

wherein each image of the plurality of sharp images is represented in an YCC format; and

wherein the blurred image is represented in the YCC format.

8. An image processing method comprising:

acquiring a plurality of sharp images of a scene;

acquiring a blurred image nominally of the same scene;

generating a first combined image based, at least in part, on a first sharp image, from the plurality of sharp images, and color information of the blurred image;

generating a second combined image based, at least in part, on a second sharp image, from the plurality of sharp images, and the first combined image;

wherein the first sharp image is different than the second sharp image; and

displaying the second combined image;

wherein the method is performed using one or more computing devices.

9. The image processing method of claim 8 ,

wherein the first combined image is generated using also luminance information of the blurred image;

wherein the first combined image and a second combined image are color-enhanced and a luminance-enhanced versions of the first sharp image; and

wherein the second combined image appears less blurred than the blurred image.

10. The image processing method of claim 8 ,

wherein pixels of the blurred image exhibit a greater motion blurring effect than pixels of the sharp image.

11. The image processing method of claim 8 , wherein the blurred image is acquired by digitally exposing pixels of a sensor array for an exposure time that is longer than respective exposure times during which each image of the plurality of sharp images is acquired.

12. The image processing method of claim 8 , wherein the blurred image nominally of the same scene is overexposed.

13. The image processing method of claim 8 ,

wherein each image of the plurality of sharp images is represented in an RGB format; and

wherein the blurred image is represented in the RGB format.

14. The image processing method of claim 8 ,

wherein each image of the plurality of sharp images is represented in an YCC format; and

wherein the blurred image is represented in the YCC format.

15. A non-transitory computer-readable storage medium storing one or more instructions which, when performed by one or more processors, cause the processors to perform:

acquiring a plurality of sharp images of a scene;

acquiring a blurred image nominally of the same scene;

generating a first combined image based, at least in part, on a first sharp image, from the plurality of sharp images, and color information of the blurred image;

generating a second combined image based, at least in part, on a second sharp image, from the plurality of sharp images, and the first combined image;

wherein the first sharp image is different than the second sharp image; and

displaying the second combined image.

16. The non-transitory computer-readable storage medium of claim 15 ,

wherein the first combined image is generated using also luminance information of the blurred image;

wherein the first combined image and a second combined image are color-enhanced and a luminance-enhanced versions of the first sharp image; and

wherein the second combined image appears less blurred than the blurred image.

17. The non-transitory computer-readable storage medium of claim 15 ,

wherein pixels of the blurred image exhibit a greater motion blurring effect than pixels of the sharp image.

18. The non-transitory computer-readable storage medium of claim 15 , wherein the blurred image is acquired by digitally exposing pixels of a sensor array for an exposure time that is longer than respective exposure times during which each image of the plurality of sharp images is acquired.

19. The non-transitory computer-readable storage medium of claim 15 , wherein the blurred image nominally of the same scene is overexposed.

20. The non-transitory computer-readable storage medium of claim 15 ,

wherein each image of the plurality of sharp images is represented in an YCC format; and

wherein the blurred image is represented in the YCC format.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2025
From: FOTONATION LIMITED
To: ADEIA IMAGING LLC
Reel/Frame 073635/0320 →
SECURITY INTEREST Recorded May 3, 2023
From: ADEIA GUIDES INC.; ADEIA IMAGING LLC; ADEIA MEDIA HOLDINGS LLC; ADEIA MEDIA SOLUTIONS INC.; ADEIA SEMICONDUCTOR ADVANCED TECHNOLOGIES INC.; ADEIA SEMICONDUCTOR BONDING TECHNOLOGIES INC.; ADEIA SEMICONDUCTOR INC.; ADEIA SEMICONDUCTOR SOLUTIONS LLC; ADEIA SEMICONDUCTOR TECHNOLOGIES LLC; ADEIA SOLUTIONS LLC
To: BANK OF AMERICA, N.A., AS COLLATERAL AGENT
Reel/Frame 063529/0272 →
CHANGE OF NAME Recorded Dec 3, 2014
From: DIGITALOPTICS CORPORATION EUROPE LIMITED
To: FOTONATION LIMITED
Reel/Frame 034524/0882 →