Improving the temporal segmentation in digital videos using the Deceived Bilateral Filter

Chacon-Quesada, Rodrigo; Calderón-Ramírez, Saúl; Siles, F.

doi:10.1109/concapan.2016.7942343

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…It is a well addressed problem in literature, with vast number of techniques proposed [1]. Noisy input images decrease the performance of common image processing tasks such as segmentation, object tracking and classification [2]- [4]. Thus, it becomes an important issue to incorporate denoising and enhancement techniques as a preprocessing stage, to increase performance of latter steps.…”

Section: Introductionmentioning

confidence: 99%

DNLM-MA-P: A Parallelization of the Deceived Non Local Means Filter with Moving Average and Symmetric Weighting

Calderón

Castro

Zurnbado

2018

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)

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This paper presents a novel computational optimization of the deceived non local means filter using moving average and symmetric weighting. The proposed optimization is compared with different approaches that reduce the computational cost of the deceived non local means filter. Furthermore, the impact of parallelizing different optimization approaches is assessed by evaluating the execution time and scalability in Xeon Phi KNL architecture. The proposed optimization for the sequential implementation achieved a 90x speedup, while its parallelized implementation yielded a speedup of up to 1662x.

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Section: Introductionmentioning

confidence: 99%