An edge-preserving filtering framework for visibility restoration

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages384-387
Publication statusPublished - 2012

Publication series

Name
ISSN (Print)1051-4651

Conference

Title21st International Conference on Pattern Recognition, ICPR 2012
PlaceJapan
CityTsukuba
Period11 - 15 November 2012

Abstract

In this paper, we propose a new framework for edge-preserving texture-smoothing filtering to improve the visibility of images in presence of haze or fog. The proposed framework can effectively achieve strong texture smoothing while keeping edges sharp, and any low-pass filter can be directly integrated into the framework. Our experiments with three popular low-pass filters (Gaussian filter, median filter and bilateral filter) show that our framework can better preserve the contrast around edges than the original filters. The visibility restoration algorithm based on our framework outperforms existing filtering-based algorithm without losing the speed advantage compared to non-filtering-based algorithms. © 2012 ICPR Org Committee.

Citation Format(s)

An edge-preserving filtering framework for visibility restoration. / Bao, Linchao; Song, Yibing; Yang, Qingxiong; Ahuja, Narendra.

Proceedings - International Conference on Pattern Recognition. 2012. p. 384-387 6460152.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review