2018
DOI: 10.1109/access.2018.2858827
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Optimal Local Dimming Based on an Improved Shuffled Frog Leaping Algorithm

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Cited by 24 publications
(29 citation statements)
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“…In [12], a Gaussian distribution model is proposed to reduce power consumption and improve image quality. In Swarm Intelligence (SI), the authors of [13,14] transformed the local backlight dimming to an optimization problem to preserve the image quality with low power consumption. A guided firework algorithm proposed in [14] achieves higher performance than the one in [13].…”
Section: Backlight Extractionmentioning
confidence: 99%
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“…In [12], a Gaussian distribution model is proposed to reduce power consumption and improve image quality. In Swarm Intelligence (SI), the authors of [13,14] transformed the local backlight dimming to an optimization problem to preserve the image quality with low power consumption. A guided firework algorithm proposed in [14] achieves higher performance than the one in [13].…”
Section: Backlight Extractionmentioning
confidence: 99%
“…In Swarm Intelligence (SI), the authors of [13,14] transformed the local backlight dimming to an optimization problem to preserve the image quality with low power consumption. A guided firework algorithm proposed in [14] achieves higher performance than the one in [13]. Although there are other local dimming algorithms [15,16], most of them favor only specific characteristic of an image.…”
Section: Backlight Extractionmentioning
confidence: 99%
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“…Our literature review shows that SFLA and its variants have been used in various areas, including water distribution network design [19], project management [36], knapsack problem [37], component pick-and-place problem [38], routing problem [39], gateway loading balance [40], local dimming optimization [41], underwater sonar image detention [42], job scheduling [43], big data [44], feature selection [45], etc. However, to our best knowledge, SFLA has never been used to deal with the BAP.…”
Section: The Basic Sflamentioning
confidence: 99%