Night low-brightness image enhancement system

An image enhancement, low-brightness technology, applied in the field of image processing, can solve the problems of insufficient real-time performance, insufficient robustness, noisy images, etc., and achieve the effect of improving image smoothing, improving accuracy, and improving image quality

Pending Publication Date: 2020-06-19
SHENZHEN UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] Based on the existing night low-brightness image enhancement method directly applied to the UAV cruise system, there are insufficient real-time performance, insufficient robustness, and problems such as additional noise and image smoothing. This application provides a low-brightness image enhancement method at night system

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  • Night low-brightness image enhancement system

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Embodiment Construction

[0039] Hereinafter, specific embodiments of the application will be described in detail with reference to the accompanying drawings. According to these detailed descriptions, those skilled in the art can clearly understand the application and can implement the application. Without violating the principle of the present application, the features in various embodiments can be combined to obtain new implementations, or replace some features in some embodiments to obtain other preferred implementations.

[0040] AAQR will have more obvious over-enhancement, AGCCPF pays attention to maintaining average brightness, black noise appears, LIME will appear smooth, the enhancement effect in some hidden areas is poor, MF and MSRCR have no obvious advantages in real-time indicators, and Some scenes produce red noise. The running time of SRIE is too long to achieve real-time performance.

[0041] See Figure 1~4 , This application provides a night low-brightness image enhancement system, includ...

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Abstract

The invention belongs to the technical field of image processing, and particularly relates to a night low-brightness image enhancement system. An existing night low-brightness image enhancement methodis directly applied to an unmanned aerial vehicle cruise system and has the problems of insufficient real-time performance, insufficient robustness, additional noise generation, image smoothing and the like. The invention provides a night low-brightness image enhancement system. The system comprises an image enhancement subsystem and an image noise reduction sharpening subsystem, the image enhancement subsystem comprises an image mapping stretching unit and a scale factor value optimization unit of an input image, and the image noise reduction sharpening subsystem comprises a color space conversion unit and a three-dimensional block matching unit. Brightness enhancement of different brightness and different scenes is realized, the effects of noise reduction and sharpening are realized, and the robustness of the algorithm is highest.

Description

Technical field [0001] This application belongs to the field of image processing technology, and particularly relates to a low-brightness image enhancement system at night. Background technique [0002] Night city security management is an important part of smart city construction. In recent years, drone technology has developed rapidly. The application of drones to night city security management is the trend of future city management. Image quality is a key influencing factor of night city security management. Due to insufficient night light, neither professional cameras nor consumer cameras can capture satisfactory night images. Therefore, in recent years, night image enhancement technology has become a research hotspot for scholars at home and abroad. . In the UAV night pictures, the readability of the image directly affects the subsequent recognition and detection. [0003] Brightness enhancement is an important method to improve image quality, and has been widely used in und...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T5/003G06T2207/10024
Inventor 彭业萍王伟江曹广忠
Owner SHENZHEN UNIV
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