Bayesian optimization exposure control method based on entropy weight image gradient

An image gradient and exposure control technology, applied in image communication, color TV components, TV system components, etc., can solve the problems of underexposed image details, blurred camera exposure stabilization time, overexposure of vehicle cameras, etc., to achieve Avoid long exposure stabilization time and reduce the effect of information loss

Active Publication Date: 2022-04-12
南京仙电同圆信息科技有限公司
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Problems solved by technology

[0003] In order to overcome the phenomenon of overexposure or underexposure, blurred image details and camera exposure stabilization time that are prone to occur in vehicle cameras under complex lighting conditions, the present invention proposes a Bayesian optimal exposure control method based on entropy weight image gradients

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  • Bayesian optimization exposure control method based on entropy weight image gradient
  • Bayesian optimization exposure control method based on entropy weight image gradient
  • Bayesian optimization exposure control method based on entropy weight image gradient

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[0033] The technical solution of the present invention will be further explained below in conjunction with the accompanying drawings.

[0034] Such as figure 1 It is a flow chart of the Bayesian optimal exposure control method based on the entropy weight image gradient of the present invention, and the Bayesian optimal exposure control method specifically includes the following steps:

[0035] (1) Convert the RGB original image into a grayscale image, obtain the pixel gray value k of the pixel point i on the grayscale image, and obtain the gradient information of the pixel point i on the original image through the Sobel operator

[0036] (2) Use the average gray value of the 3×3 neighborhood pixels of pixel i as the spatial feature value j of the gray distribution, and use the pixel gray value k and spatial feature value j of pixel point i on the original image to form a feature binary Group (k, j), calculate the probability p of pixel i on the original image kj ; Probabil...

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Abstract

The invention discloses a Bayesian optimization exposure control method based on entropy weight image gradient, and relates to the technical field of vehicle-mounted cameras. According to the Bayesian optimization exposure control method based on the entropy weight image gradient, the entropy weight gradient is added on the basis of the gradient information of the original image, so that on one hand, gradient noise in the original image can be minimized, and on the other hand, a saturated mask can be established; therefore, the information loss of the original image is reduced to the maximum extent by reducing the overexposure or underexposure area, and the detail features of the original image are reserved; meanwhile, in order to avoid overlong exposure stabilization time of the camera, a Bayesian optimization algorithm is added in the exposure control method, and the optimal shutter time is obtained. The Bayesian optimization exposure control method is suitable for many computer vision target detection fields, such as scenes of lane detection, vehicle detection, pedestrian detection and the like.

Description

technical field [0001] The present invention relates to the technical field of vehicle-mounted cameras, in particular to a Bayesian optimal exposure control method based on entropy-weighted image gradients. Background technique [0002] With the development of technologies such as intelligent navigation and automatic driving, more and more applications require cameras to obtain ideal image quality under complex lighting conditions. However, in order to obtain images with good imaging quality and rich details under complex lighting conditions, there are strict requirements on the exposure control of the camera. Traditional automatic exposure algorithms based on histogram equalization and average brightness can improve image quality performance and are widely used. In applications such as lane detection, vehicle detection, and pedestrian detection, more image feature information needs to be extracted. At this time, the traditional automatic exposure algorithm will reduce the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/243H04N5/235H04N5/217
CPCY02T10/40
Inventor 苏烈超刘子凡水云鹏齐洋磊刘翔磊
Owner 南京仙电同圆信息科技有限公司
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