Single image highlight removal for real-time image processing pipelines

Ramos, Vítor S.; Silveira Júnior, Luiz Gonzaga de Q.; Silveira, Luiz Felipe de Q.

Single image highlight removal for real-time image processing pipelines

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dc.contributor.author	Ramos, Vítor S.
dc.contributor.author	Silveira Júnior, Luiz Gonzaga de Q.
dc.contributor.author	Silveira, Luiz Felipe de Q.
dc.date.accessioned	2021-02-11T13:53:43Z
dc.date.available	2021-02-11T13:53:43Z
dc.date.issued	2019-12-30
dc.description.resumo	This paper presents a fully automatic method for the separation of diffuse and specular reflection components from a single image. Overall, the mechanisms in which the available methods operate on are computationally costly and do not translate well to modern hardware-implemented image processing pipelines, such as the ones present in consumer electronics. Consequently, the objective of this article is to introduce a simple yet effective method for specular highlight removal. It is based on the dichromatic reflection model and operates through histogram matching in the YCbCr color space. The proposed method performs in real-time. It only uses global image statistics and point-wise intensity transformations. Experimental evaluation shows that the proposed approach has competitive results in comparison to state-of-the-art methods. Limitations of the proposed approach are seldom and are common to most methods available. The proposed method, however, achieves better quality results with much less computational cost, thus enabling feasibility in systems with limited processing power	pt_BR
dc.identifier.citation	RAMOS, Vitor S.; SILVEIRA JUNIOR, Luiz Gonzaga de Q.; SILVEIRA, Luiz Felipe de Q.. Single Image Highlight Removal for Real-Time Image Processing Pipelines. Ieee Access, [S.L.], v. 8, p. 3240-3254, 2020. Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/access.2019.2963037. Disponível em: https://ieeexplore.ieee.org/document/8945327. Acesso em: 11 fev. 2021.	pt_BR
dc.identifier.doi	10.1109/ACCESS.2019.2963037
dc.identifier.issn	2169-3536
dc.identifier.uri	https://repositorio.ufrn.br/handle/123456789/31477
dc.language	en	pt_BR
dc.publisher	IEEE	pt_BR
dc.rights	Attribution 3.0 Brazil	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/br/	*
dc.subject	Blind source separation	pt_BR
dc.subject	Feature extraction	pt_BR
dc.subject	Image color analysis	pt_BR
dc.subject	Image enhancement	pt_BR
dc.subject	Image processing	pt_BR
dc.subject	Image texture analysis	pt_BR
dc.title	Single image highlight removal for real-time image processing pipelines	pt_BR
dc.type	article	pt_BR