Image registration algorithm based on regular sparse correspondences and SIFT. - Byeongyong Ahn; Hyung Il Koo; Nam Ik Cho (APSIPA, 2014)

Fast approximate inverse filtering for reducing motion blur in liquid crystal display. - Joonyoung Ahn; Byeongyong Ahn; Jaehyun An; Hyung Il Koo; Nam Ik Cho (ICSIPA, 2015)

Efficient Unwrap Representation of Faces for Video Editing. - Byeongyong Ahn; Hyung Il Koo; Hong Il Kim; Jichull Jeong; Nam Ik Cho (IEEE Signal Process. Lett., 2015)

Block-Matching Convolutional Neural Network for Image Denoising. - Byeongyong Ahn; Nam Ik Cho (CoRR, 2017)

Self-Commmittee Approach for Image Restoration Problems using Convolutional Neural Network. - Byeongyong Ahn; Nam Ik Cho (CoRR, 2017)

Textline detection in degraded historical document images. - Byeongyong Ahn; Jewoong Ryu; Hyung Il Koo; Nam Ik Cho (EURASIP J. Image Video Process., 2017)

Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. - Byeongyong Ahn; Yoonsik Kim; Gu Yong Park; Nam Ik Cho (APSIPA, 2018)

Reduction of Video Compression Artifacts Based on Deep Temporal Networks. - Jae Woong Soh; Jaewoo Park; Yoonsik Kim; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Access, 2018)

A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. - Yoonsik Kim; Jae Woong Soh; Jaewoo Park; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Trans. Circuits Syst. Video Technol., 2020)