Efficient multiquality 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 · Journal of the Society for Information Display · 2020
Abstract 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.