Adaptive image enhancement method and system

An image enhancement and self-adaptive technology, applied in the field of computer vision, can solve the problems of low generalization of the enhancement effect of many types of complex scenes, poor network effect and generalization, and high requirements for training data sets

Pending Publication Date: 2022-03-18
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Description
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Problems solved by technology

This has high requirements for training data sets, and some complex scenes do not have real data sets, such as underwater degraded images, resulting in poor network performance and genera

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  • Adaptive image enhancement method and system
  • Adaptive image enhancement method and system
  • Adaptive image enhancement method and system

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Embodiment Construction

[0037] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0038] The adaptive image enhancement method and system according to the embodiments of the present application are described below with reference to the accompanying drawings.

[0039] figure 1 It is a schematic flowchart of an adaptive image enhancement method provided in Embodiment 1 of the present application.

[0040] Such as figure 1 As shown, the adaptive image enhancement method includes the following steps:

[0041] Step 101, performing pre-enhancement on the degraded image to obtain a pre-enhancement image;

[...

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Abstract

The invention provides a self-adaptive image enhancement method and system, and relates to the technical field of computer vision, and the method comprises the steps: carrying out the pre-enhancement of a degraded image, and obtaining a pre-enhanced image; constructing a deep conversion network, taking the degraded image and the pre-enhanced image as input, and outputting an enhanced image group; and respectively evaluating the output enhanced image groups by using a non-reference evaluation standard to obtain an enhanced image with the highest image quality. By adoption of the scheme, the degraded images with different degradation processes and degradation degrees can be adaptively enhanced, the generalization is high, and the enhancement quality is high.

Description

technical field [0001] The present application relates to the technical field of computer vision, in particular to an adaptive image enhancement method and system. Background technique [0002] The complex imaging environment in reality will seriously degrade the acquired images, such as underwater, dark light, overexposure and other environments, the images obtained will have color decay, low color contrast and blurred details, which will increase the accuracy of target classification and detection. , tracking and other post-processing difficulties. Although with the development of high-tech imaging hardware equipment, the image quality can be improved to a certain extent, but the hardware cost is high and the imaging system is complex. Therefore, for applications that require imaging under extreme conditions, such as underwater robot surveys, target recognition and detection in low-light or over-exposed environments, the problem of image enhancement for degraded images is...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/00G06N3/04
CPCG06T5/007G06T7/0002G06T2207/30168G06N3/045
Inventor 边丽蘅李道钰张军李璐李一鸣
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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