Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain

Joint Authors

Wu, Shi
Fang, Zhijun
Sun, Xiankun
Liu, Huijie
Li, Chengfan
Yin, Jingyuan

Source

International Journal of Digital Multimedia Broadcasting

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-09-28

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science

Abstract EN

We propose a novel approach for low-light image enhancement.

Based on illumination-reflection model, the guided image filter is employed to extract the illumination component of the underlying image.

Afterwards, we obtain the reflection component and enhance it by nonlinear functions, sigmoid and gamma, respectively.

We use the first-order edge-aware constraint in the gradient domain to achieve good edge preserving features of enhanced images and to eliminate halo artefact effectively.

Moreover, the resulting images have high contrast and ample details due to the enhanced illumination and reflection component.

We evaluate our method by operating on a large amount of low-light images, with comparison with other popular methods.

The experimental results show that our approach outperforms the others in terms of visual perception and objective evaluation.

American Psychological Association (APA)

Sun, Xiankun& Liu, Huijie& Wu, Shi& Fang, Zhijun& Li, Chengfan& Yin, Jingyuan. 2017. Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain. International Journal of Digital Multimedia Broadcasting،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1165924

Modern Language Association (MLA)

Sun, Xiankun…[et al.]. Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain. International Journal of Digital Multimedia Broadcasting No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1165924

American Medical Association (AMA)

Sun, Xiankun& Liu, Huijie& Wu, Shi& Fang, Zhijun& Li, Chengfan& Yin, Jingyuan. Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain. International Journal of Digital Multimedia Broadcasting. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1165924

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1165924