67‐1: Distinguished Paper: Efficient Multi‐Quality Super Resolution Using a Deep Convolutional Neural Network for an FPGA Implementation
Min Beom Kim, Sanglyn Lee, Ilho Kim, Hee Jung Hong, Chang Gone Kim, Soo Young Yoon · SID Symposium Digest of Technical Papers · 2020
We propose an efficient deep convolutional neural network for a super‐resolution which is capable of multiple‐quality input, by analyzing the input quality and choosing appropriate features automatically. To implement the network in an FPGA and an ASIC, we employ a network trimming technique to compress the neural network.