An Optimized Quantization Constraints Set for Image Restoration and its GPU Implementation

This paper presents a novel optimized quantization constraint set, acting as an add-on to existing DCT-based image restoration algorithms. The constraint set is created based on generalized Gaussian distribution which is more accurate than the commonly used uniform, Gaussian or Laplacian distributio...

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Vydané v:	IEEE transactions on image processing Ročník 29; s. 6043 - 6053
Hlavní autori:	Liu, Shumin, Chen, Jiajia, Ai, Ye, Rahardja, Susanto
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Discrete cosine transforms GPU parallelism Graphics processing units Image coding Image enhancement Image management Image quality Image restoration Image retrieval Measurement Normal distribution Optimization optimized quantization constraints set Quantization (signal) Signal to noise ratio
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line prístup:	Získať plný text
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