Low-illumination image enhancement method based on image fusion

Abstract

The invention discloses a low-illumination image enhancement method based on image fusion. The method comprises the steps of firstly converting an image from an RGB space to an HSV space, and then estimating an initial illumination image I from a V channel; filtering the initial illumination image I to obtain a further accurate illumination image II; performing gamma correction on the illuminationimage II to obtain a plurality of intermediate images; determining the weight of the intermediate image, and performing image fusion to obtain a final illumination image III; and solving a reflectiongraph, and converting the reflection graph from the HSV space to the RGB space to obtain a final enhancement graph. According to the fusion-based low-illumination image enhancement algorithm providedby the invention, an image can be effectively enhanced for a low-illumination condition, and an image with high contrast ratio, natural color and good visual effect is obtained. The algorithm can beapplied to a mobile phone, only one-key operation is needed, the quality of a low-light image is effectively improved, and the photographing experience of a user is improved.

Description

technical field [0001] The invention relates to the field of image enhancement, in particular to a low-light image enhancement method based on image fusion. A method for low-light image enhancement, determining optimal reflectance maps. Background technique [0002] With the popularity of advanced mobile devices, especially the application of cameras on mobile phones, people can take pictures almost anytime and anywhere. With the vigorous development of social media platforms, a large number of photos are produced and shared every day, forming a kind of important big data. However, the quality of these data visualizations is not guaranteed, because the source of these data visualizations is quite open. On the one hand, when it comes to taking pictures, most people are amateurs or have little knowledge of photography techniques, and they often choose sub-optimal shooting parameters. On the other hand, there are many challenging shooting conditions that lead to low-quality ...

AI Technical Summary

Problems solved by technology

[0003] Low-light images are one of the main contributors to poor visual quality of images, distorting images in the dark or with uneven lighting

While software exists that allows users to interactively adjust photos, it is quite tedious and difficult for non-professionals as it requires manipulating controls such as color and contrast while finely adjusting various objects and details in the photo

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