Convolutional Neural Network-Based Block Up-Sampling for Intra Frame Coding

• Published in: IEEE transactions on circuits and systems for video technology Vol. 28; no. 9; pp. 2316 - 2330
• Main Authors: Li, Yue, Liu, Dong, Li, Houqiang, Li, Li, Wu, Feng, Zhang, Hong, Yang, Haitao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Anchors; Artificial neural networks; Block codes; Convolutional codes; Convolutional neural network (CNN); down-sampling; Encoding; Feature maps; high efficiency video coding (HEVC); Image coding; Image reconstruction; Image resolution; intra frame coding; Neural networks; Reduction; Sampling methods; Signal resolution; up-sampling; Video coding; Video compression

Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block can be down-sampled before being compressed by normal intra coding, and then up-sampled to its original resolution. Diff...