公开(公告)号：US20180232853A1

公开(公告)日：2018-08-16

申请号：US15741098

申请日：2016-06-30

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Munchurl KIM ,  Jae Seok CHOI

IPC: G06T3/40 ,  H04N7/01

CPC classification number: G06T3/403 ,  G06T3/4007 ,  G06T3/4053 ,  H04N7/01 ,  H04N7/0117 ,  H04N7/0145

Abstract: An image conversion method includes: dividing a low-resolution image to generate a plurality of low-resolution image patches having N (N being a natural number of 2 or greater) number of pixels; classifying the low-resolution image patches into a plurality of image categories; converting the low-resolution image patches by using a conversion kernel for each image patch corresponding to its image category among prestored conversion matrices, to generate high-resolution image patches having L (L being a natural number) number of pixels, which is less than the N number of pixels; and arranging the high-resolution image patches to generate a high-resolution image. According to the image conversion method, an operation amount can be reduced compared with a conventional technique, and thus the image conversion method can be implemented in hardware having low complexity. A high quality and high-resolution image can be generated regardless of characteristic information of an image signal.

公开(公告)号：US20160353131A1

公开(公告)日：2016-12-01

申请号：US15236232

申请日：2016-08-12

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Munchurl KIM ,  Jaeil KIM

IPC: H04N19/61 ,  H04N19/182 ,  H04N19/154 ,  H04N19/176

CPC classification number: H04N19/61 ,  H04N19/126 ,  H04N19/154 ,  H04N19/176 ,  H04N19/182 ,  H04N19/19 ,  H04N19/48

Abstract: A PVC method using visual recognition characteristics includes generating a residual signal between an input block, which is included in at least one frame, and prediction data generated from an inter-frame prediction or intra-frame prediction. The PVC method further includes calculating a transform domain JND for the input block; shifting the calculated JND based on the size of the input block; and subtracting the shifted transform domain JND from a transform coefficient of the residual signal and quantizing the same.

Abstract translation: 使用视觉识别特征的PVC方法包括在包括在至少一帧中的输入块与从帧间预测或帧内预测生成的预测数据之间生成残差信号。 PVC方法还包括计算输入块的变换域JND; 根据输入块的大小移动计算出的JND; 并从残差信号的变换系数中减去移位的变换域JND并对其进行量化。