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Noise adaptive non-blind image deblurring

A deblurring and adaptive technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as noise and blur

Pending Publication Date: 2022-05-17
GM GLOBAL TECH OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, blurred images usually include noise and blur

Method used

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  • Noise adaptive non-blind image deblurring
  • Noise adaptive non-blind image deblurring
  • Noise adaptive non-blind image deblurring

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Embodiment Construction

[0035] The following description is merely exemplary in nature and is not intended to limit the disclosure, its application, or uses. It should be understood that throughout the drawings, corresponding reference numerals indicate like or corresponding parts and features.

[0036] As mentioned earlier, the image obtained by the camera can be blurry. In vehicular applications, movement or vibration of the camera may cause blurred images obtained by the camera. Non-blind deblurring of blurred images refers to the situation where the blur source and the blur model are known. Even if the blurring function or model is known, non-blind deblurring is an unstable problem and boundary conditions must be imposed to resolve artifacts. That is, existing deblurring processes may introduce artifacts. Additionally, noise may be amplified if the deblurring process is not regularized. Existing methods help to account for known or fixed noise in the non-blind deblurring process. Specificall...

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Abstract

Systems and methods of performing noise adaptive non-blind deblurring on an input image including blurring and noise include implementing a first neural network on the input image to obtain one or more parameters, and performing regularized deconvolution to obtain a deblurred image from the input image. Regularized deconvolution uses one or more parameters to control noise in the deblurred image. A method includes implementing a second neural network to remove artifacts from the deblurred image and provide an output image.

Description

technical field [0001] The subject disclosure relates generally to image deblurring, and more specifically, to noise adaptive non-blind image deblurring. Background technique [0002] Vehicles (e.g., cars, trucks, agricultural equipment, construction equipment, automated factory equipment) may include many sensors that provide information about the vehicle and its environment. An exemplary sensor is a camera. For example, images obtained by one or more cameras of the vehicle may be used to perform semi-autonomous or autonomous operations. Images obtained by the camera may be blurred for various reasons, including camera movement or vibration. In vehicular applications, the source of blur may be well known based on the known motion of the vehicle or the calibration performed on the camera. This is beneficial for non-blind image deblurring. However, blurred images usually include noise and blur. Therefore, it is desirable to provide noise-adaptive non-blind image deblurri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06N3/04
CPCG06T2207/20004G06T2207/20081G06T2207/20084G06N3/045G06T5/73G06T2207/20008G06T2207/30252G06N3/08G06T5/70G06T5/60G06T2207/30248G06T5/77
Inventor M.斯卢茨基
Owner GM GLOBAL TECH OPERATIONS LLC