JPEG Artifact Reduction Based on Deformable Offset Gating Network Controlled by a Variational Autoencoder

For the reduction of JPEG compression artifacts, there have been many methods using deep neural networks. Most of them use the JPEG compression quality factor (QF) as prior knowledge in designing and training the networks. However, since the images we get from the Internet are often recompressed, th...

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מידע ביבליוגרפי

Principais autores:	Jeonghwan Yoon, Nam Ik Cho
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2023-01-01
סדרה:	IEEE Access
נושאים:	JPEG artifacts removal quantization image restoration recompression deformable convolution convolutional neural network (CNN)
גישה מקוונת:	https://ieeexplore.ieee.org/document/10080951/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!