Low-illuminance image enhancement and evaluation method

An image enhancement and evaluation method technology, applied in the field of image processing, can solve problems such as inexplicability, large errors, and enhanced detail effects, and achieve the effects of less color distortion, objective evaluation, and wide application range.

Active Publication Date: 2017-10-24
CAPITAL NORMAL UNIVERSITY
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no relatively complete evaluation method in the field of image enhancement, especially in the field of low-light image enhancement.
[0005] Most of the current methods estimate the image quality through subjective evaluation and calculation of peak signal-to-noise ratio, but the subjective evaluation varies with the subject of the experiment, and the error is very large, while the objective evaluation standard of the image can only explain the degree of image damage and does not Can't account for its enhanced detail effect

Method used

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  • Low-illuminance image enhancement and evaluation method
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  • Low-illuminance image enhancement and evaluation method

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Embodiment Construction

[0053] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate 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 only for explaining the present invention and should not be construed as limiting the present invention.

[0054] A low-illuminance image enhancement and evaluation method according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

[0055] figure 1 is a flowchart of a low-illuminance image enhancement method according to an embodiment of the present invention.

[0056] Such as figure 1 shown, combined with figure 2 , a method for enhancing a low-illuminance image according to an embodiment of the present invention, comprising the following steps:

[0057] S101: Acquire a low-i...

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Abstract

The present invention provides an enhanced image evaluation method. The method comprises the following steps of acquiring the image sequences of a target scene shot at a plurality of different illuminances; selecting a template image for evaluating an enhanced image out of all image sequences; calculating the structure similarity between the template image and the enhanced image; according to the structure similarity, evaluating the enhancement effect of the enhanced image. According to the invention, the above enhanced image evaluation method can be used for objectively and reliably evaluating the image enhancement effects of different image enhancement methods.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a low-illuminance image enhancement and evaluation method. Background technique [0002] Computer vision plays an important role in scene monitoring, urban traffic, residents' security and other fields. However, under low-illumination conditions, due to insufficient illumination of unnatural light sources, such as night, rainy days, low-level and other special scenes, due to the reduction of ambient light in the atmosphere, the acquired images have problems of low resolution and blurred details. , leading to the degradation of image quality, resulting in serious degradation of image quality collected at night, low image recognizability, and containing a lot of noise, so that it is difficult to distinguish the details in the image, which greatly limits the application of images and videos. The quality enhancement of low-light images is one of the research hotspots in the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/40G06T5/50
CPCG06T5/003G06T5/40G06T5/50G06T2207/10016G06T2207/10024G06T2207/30168
Inventor 丁辉尚媛园赵谭周修庄付小雁邵珠宏
Owner CAPITAL NORMAL UNIVERSITY
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