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Image noise reduction using spectral transforms

A spectrum and image frame technology, applied in the field of image noise filtering technology, to achieve the effect of filtering noise

Active Publication Date: 2019-08-23
TELEDYNE FLIR LLC
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Therefore, such conventional methods are generally not suitable for use in embedded systems where the available computing power and memory may not be sufficient for such processing

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  • Image noise reduction using spectral transforms
  • Image noise reduction using spectral transforms
  • Image noise reduction using spectral transforms

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Embodiment Construction

[0024] Various techniques are provided to remove spatially correlated temporal row and column noise from image frames. In some embodiments, multiple image frames are acquired and corresponding row and column values ​​are determined for each image frame. In various embodiments, row and column values ​​may be implemented as average row and column pixel values ​​and / or sums of row and column pixel values, and are collectively referred to as row and column vectors.

[0025] A first spectral transform is applied to a subset of the row and column values ​​of each image frame to determine first spectral coefficients. A second spectral transform is applied to the first set of spectral coefficients to determine second spectral coefficients. The magnitudes of the second spectral coefficients are compared to the magnitudes of corresponding sets of noise spectral coefficients calculated from other image frames having no scene information (eg, noise only). Based on these comparisons, the...

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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 adjustingthe 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.

Description

[0001] Cross References to Related Applications [0002] This application is a continuation of International Patent Application PCT / US2017 / 068596, filed December 27, 2017, entitled "IMAGE NOISE REDUCTION USINGSPECTRAL TRANSFORMS", which is hereby incorporated by reference in its entirety. [0003] International Patent Application No. PCT / US2017 / 068596 Claims the Benefit and Priority of U.S. Patent Application No. 62 / 441,902, Filed January 3, 2017, entitled "IMAGENOISE REDUCTION USING SPECTRAL TRANSFORMS" and adopted by U.S. Patent Application No. 62 / 441,902 This reference is incorporated herein in its entirety. technical field [0004] The present invention relates generally to imaging, and more particularly to image noise filtering techniques. Background technique [0005] Row and column noise is a recurring problem in the world of image acquisition and processing. In this regard, various components of the imaging system can generate some amount of noise that is inadvert...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/10G06T5/50H04N5/357
CPCG06T5/10G06T5/50G06T2207/10016G06T2207/10048G06T2207/20052G06T2207/20182G06T5/70
Inventor 尼古拉斯·霍格斯坦
Owner TELEDYNE FLIR LLC
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