Color image enhancement based on local spatial homomorphic filtering and gradient domain variance guided image filtering

Chuanmin Zhang; Weibin Liu; Weiwei Xing

doi:10.1117/1.JEI.27.6.063026

19 December 2018 Color image enhancement based on local spatial homomorphic filtering and gradient domain variance guided image filtering

Chuanmin Zhang, Weibin Liu, Weiwei Xing

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 6, 063026 (December 2018). https://doi.org/10.1117/1.JEI.27.6.063026

Abstract

Image quality is affected by various factors, especially low illumination. We propose an image color enhancement method to improve the brightness and quality of images. First, we apply local spatial homomorphic filtering to images to improve the brightness and avoid edge block effect as well as image size limitation at the same time. Second, gradient domain variance guided image filtering is proposed for restrain noise amplification in image enhancement, which has better denoising and edge preservation. The above two algorithms are applied to the V-channel in the hue, saturation, value space to form a color image enhancement algorithm. This method not only improves the brightness and quality of low-illumination images but also avoids noise amplification after image enhancement. The experimental results prove that our proposed algorithm is superior to other methods in improving brightness and noise removal of low-illumination images.

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Chuanmin Zhang, Weibin Liu, and Weiwei Xing "Color image enhancement based on local spatial homomorphic filtering and gradient domain variance guided image filtering," Journal of Electronic Imaging 27(6), 063026 (19 December 2018). https://doi.org/10.1117/1.JEI.27.6.063026

Received: 27 July 2018; Accepted: 31 October 2018; Published: 19 December 2018

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