Saliency guided image detail enhancement

Ghosh, S and Gavaskar, RG and Chaudhury, KN (2019) Saliency guided image detail enhancement. In: 25th National Conference on Communications, NCC 2019, 20 - 23 February 2019, Bangalore.

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Abstract

The use of visual saliency for perceptual enhancement of images has drawn significant attention. In this paper, we explore the idea of selectively enhancing salient regions of an image. Moreover, we develop an algorithm based on adaptive bilateral filtering for this purpose. In most of the filtering based methods, detail enhancement is performed by decomposing the image into base and detail layers; the detail layer is amplified and added back to the base layer to obtain the enhanced image. The decomposition is performed using edge-preserving smoothing such as bilateral filtering. The present novelty is that we use the saliency map to locally guide the smoothing (and the enhancement) action of the bilateral filter. The effectiveness of our proposal is demonstrated using visual results. In particular, our method does not suffer from gradient reversals and halo artifacts, and does not amplify fine details in non-salient regions that often appear as noise grains in the enhanced image. Moreover, if we choose to perform the filtering channelwise, then our method can be efficiently implemented using an existing fast algorithm.

Item Type:	Conference Paper
Publication:	25th National Conference on Communications, NCC 2019
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Adaptive filters; Image coding; Image segmentation; Nonlinear filtering, Adaptation; Bilateral filters; Detail enhancement; Fast algorithms; Saliency, Image enhancement
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	29 Nov 2022 05:54
Last Modified:	29 Nov 2022 05:54
URI:	https://eprints.iisc.ac.in/id/eprint/78067

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