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Fast Bright-Pass Bilateral Filtering for Low-Light Enhancement

Ghosh, S and Chaudhury, KN (2019) Fast Bright-Pass Bilateral Filtering for Low-Light Enhancement. In: 26th IEEE International Conference on Image Processing, ICIP 2019, 22 - 25 September 2019, Taipei, pp. 205-209.

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Official URL: https://doi.org/10.1109/ICIP.2019.8802986


We consider the problem of enhancing images captured under low-light conditions. Several variational and filtering based solutions have been proposed for this problem that are based on the retinex model. The idea in retinex is to first estimate the illumination and reflectance from the observed image, enhance the illumination, and then combine it with the reflectance to get the rectified image. A variant of bilateral filtering, called bright-pass bilateral filtering (BPBF), can be used for illumination estimation. However, BPBF is computation intensive and takes up a significant amount of the processing time. Motivated by recent work, we propose a Fourier approximation of BPBF that can accelerate the filtering (by an order) without loss in visual quality. Experimental results demonstrate that our algorithm is sufficiently fast and can effectively enhance low-light images. In particular, our proposal is competitive with recent algorithms in terms of visual perception and quality metrics. © 2019 IEEE.

Item Type: Conference Paper
Publication: Proceedings - International Conference on Image Processing, ICIP
Publisher: IEEE Computer Society
Additional Information: The copyright for this article belongs to IEEE Computer Society.
Keywords: bilateral filter; fast algorithm; Fourier approximation; low-light enhancement; retin
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 06 Jan 2023 08:52
Last Modified: 06 Jan 2023 08:52
URI: https://eprints.iisc.ac.in/id/eprint/78825

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