Method and system for processing low-illuminance image
First Claim
1. A system for processing a low-illuminance image, the system comprising:
- an image acquisition unit to acquire two images having different levels of illuminance and sensitivity as first and second images;
a motion vector estimation unit to estimate a motion vector of the second image based on the first image;
an image correction unit to correct the second image using the estimated motion vector;
a synthesis coefficient calculation unit to calculate a synthesis coefficient used to synthesize the first image and the corrected second image;
an image synthesis unit to synthesize the first image and the corrected second image using the calculated synthesis coefficient; and
a noise reduction unit to reduce noise from the second image by comparing a signal-to-noise ratio (SNR) of each pixel of the second image with a predetermined threshold value.
2 Assignments
0 Petitions
Accused Products
Abstract
Provided are a method and system for processing a low-illuminance image. The system includes an image acquisition unit to acquire two images having different levels of illuminance and sensitivity as first and second images; a motion vector estimation unit to extract a motion vector of the second image based on the first image; an image correction unit to correct the second image using the extracted motion vector; a synthesis coefficient calculation unit to calculate a synthesis coefficient used to synthesize the first image and the corrected second image; and an image synthesis unit to synthesize the first image and the corrected second image using the calculated synthesis coefficient.
18 Citations
20 Claims
-
1. A system for processing a low-illuminance image, the system comprising:
-
an image acquisition unit to acquire two images having different levels of illuminance and sensitivity as first and second images; a motion vector estimation unit to estimate a motion vector of the second image based on the first image; an image correction unit to correct the second image using the estimated motion vector; a synthesis coefficient calculation unit to calculate a synthesis coefficient used to synthesize the first image and the corrected second image; an image synthesis unit to synthesize the first image and the corrected second image using the calculated synthesis coefficient; and a noise reduction unit to reduce noise from the second image by comparing a signal-to-noise ratio (SNR) of each pixel of the second image with a predetermined threshold value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A method of processing a low-illuminance image, the method comprising:
-
acquiring two images having different levels of illuminance and sensitivity as first and second images; extracting a motion vector of the second image based on the first image; correcting the second image using the extracted motion vector; calculating a synthesis coefficient used to synthesize the first image and the corrected second image; synthesizing the first image and the corrected second image using the calculated synthesis coefficient; and reducing noise from the second image after acquiring the first and second images by comparing a signal-to-noise (SNR) of each pixel of the second image with a predetermined threshold value, wherein the method is performed with at least one processor. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
-
-
18. A method of processing a low-illuminance image, the method comprising:
-
acquiring two images having different levels of illuminance and sensitivity as first and second images; converting the first and second images into a first binary image and a second binary image, respectively; generating a combined binary image by combining the first and second binary images using an OR operation; continuously converting a binary number by having a slope at the border of an activated region of the combined binary image; and synthesizing the first and second images using the continuously converted binary number of the combined binary image, wherein in the converting of the first and second images into the first and second binary images, a signal-to-noise (SNR) value of each pixel of each of the first and second images is calculated, and the first and second images are converted into the first and second binary images by setting each pixel to one if the SNR value of the pixel is greater than a predetermined threshold value and setting the pixel to zero if the SNR value of the pixel is less than the predetermined threshold value. - View Dependent Claims (19, 20)
-
Specification