Invention Grant
- Patent Title: Image noise reduction using spectral transforms
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Application No.: US16503342Application Date: 2019-07-03
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Publication No.: US11113791B2Publication Date: 2021-09-07
- Inventor: Nicholas Högasten
- Applicant: FLIR SYSTEMS, INC.
- Applicant Address: US OR Wilsonville
- Assignee: FLIR SYSTEMS, INC.
- Current Assignee: FLIR SYSTEMS, INC.
- Current Assignee Address: US OR Wilsonville
- Agency: Haynes and Boone, LLP
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T3/20 ; G06T7/37 ; G06T7/579

Abstract:
Various techniques are provided for reducing noise in captured image frames. In one example, a method includes determining row values for image frames comprising scene information and noise information. The method also includes performing first spectral transforms in a first domain on corresponding subsets of the row values to determine first spectral coefficients. The method also includes performing second spectral transforms in a second domain on corresponding subsets of the first spectral coefficients to determine second spectral coefficients. The method also includes selectively adjusting the second spectral coefficients. The method also includes determining row correction terms based on the adjusted second spectral coefficients to reduce the noise information of the image frames. Additional methods and systems are also provided.
Public/Granted literature
- US20190325566A1 IMAGE NOISE REDUCTION USING SPECTRAL TRANSFORMS Public/Granted day:2019-10-24
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