REDUCING NOISE IN DIGITAL IMAGES
First Claim
Patent Images
1. A method comprising:
- receiving, from an image sensor, a target digital image contaminated by noise of unknown magnitude that is represented by a reference digital image; and
applying a process that uses a variance minimization analysis with respect to the target digital image and the reference digital image, to estimate a magnitude of the noise for at least some pixels of the target digital image.
6 Assignments
0 Petitions
Accused Products
Abstract
A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitude of the noise for at least some pixels of the target digital image.
68 Citations
16 Claims
-
1. A method comprising:
-
receiving, from an image sensor, a target digital image contaminated by noise of unknown magnitude that is represented by a reference digital image; and applying a process that uses a variance minimization analysis with respect to the target digital image and the reference digital image, to estimate a magnitude of the noise for at least some pixels of the target digital image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. An apparatus comprising
a software processor configured to receive, from an image sensor, a target digital image contaminated by noise of unknown magnitude that is represented by a reference digital image; - and
apply a process that uses a variance minimization analysis with respect to the target digital image and the reference digital image, to estimate a magnitude of the noise for at least some pixels of the target digital image.
- and
-
10. An apparatus comprising
means for receiving, from an image sensor, a target digital image contaminated by noise of unknown magnitude that is represented by a reference digital image; and means for applying a process that uses a variance minimization analysis with respect to the target digital image and the reference digital image, to estimate a magnitude of the noise for at least some pixels of the target digital image.
-
11. An apparatus comprising
a device to acquire target digital images (T) of skin lesions on patients, and a software processing facility to: -
for each of at least some of the pixels in each of the target digital images (T), determine an unknown amplitude (A) of noise that contaminates at least some of the pixels of the target digital image, the amplitude being possibly different in different ones of the target digital images, the determination being based on the target digital image and on a reference digital image that is representative of the contaminating noise and is obtained by the same sensor, the determination being made from a decorrelation condition;
Correlation (T−
A*{the reference digital image}, {the reference digital image})=0,the determination being made over pixels in some regions of the target digital image and the reference digital image, to estimate the amplitude of the noise for each of at least some pixels of T, produce a noise reduced version of the target digital image using the determined noise amplitudes A of the pixels, analyze features of the noise reduced version of the target digital image, determine a malignancy state of the lesion based on the analysis, and report the malignancy state to a user of the apparatus. - View Dependent Claims (12, 13, 14, 15, 16)
-
Specification