Evaluation of quality measures for color quantization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11385-y.pdf
Reference101 articles.
1. Bianco S, Celona L, Napoletano P, Schettini R (2018) On the use of deep learning for blind image quality assessment. Signal Image Video Process 12(2):355–362
2. Bosse S, Maniry D, Müller KR, Wiegand T, Samek W (2018) Deep neural networks for no-reference and full-reference image quality assessment. IEEE Trans Image Process 27(1):206–219
3. Bruni V, Ramella G, Vitulano D (2015) Automatic Perceptual Color Quantization of Dermoscopic Images. In: Braz J et al (eds) VISAPP 2015 1. Scitepress Science and Technology Publications, pp 323–330
4. Bruni V, Ramella G, Vitulano D (2017) Perceptual-based Color Quantization. In: Battiato S et al (eds) Image Analysis and Processing - ICIAP 2017, Lecture Notes in Computer Science vol. 10484. Springer, pp 671–681
5. Chandler DM (2013) Seven challenges in image quality assessment: Past, present, and future research, vol. 2013, Article ID 905685. Hindawi Publishing Corporation ISRN Signal Processing, p 53
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