You-Young Jung

An effective de-interlacing technique using two types of motion information

In this paper, we propose a new de-interlacing algorithm using two types of motion information, i.e., the block-based and the pixel-based motion information. In the proposed scheme, block-wise motion is first calculated using the frame differences. Then, it is refined by the pixel-based motion information. The results of hardware implementation show that the proposed scheme using block-wise motion is more robust to noise than the conventional schemes using pixel-wise motion. Also, the proposed spatial interpolation provides a good visual performance in the case of moving diagonal edges.

Motion compensation assisted motion adaptive interlaced-to-progressive conversion

This paper presents a novel interlaced-to-progressive conversion (IPC) method based on the motion adaptive IPC (MA-IPC) with its adaptation assisted by the motion compensation. The motion adaptation is performed with respect to a motion selected from a limited set based on the accuracy evaluated with a reduced and overlapped block. The use of the reduced and overlapped blocks makes the evaluation of the accuracy more precise, and the implementation less costly. The motion adaptation structure ensures that any possible error occurs pixel-wise, so that block-wise spurious error can be eliminated. The estimation of the motion is performed efficiently with data already available for the motion adaptation. The proposed motion compensation assisted motion adaptive IPC (MoMA-IPC) method provides image quality similar to the motion compensated IPC (MC-IPC) for those images the MC-IPC offers significant improvement over the MA-IPC, yet at the considerably lower computational and implementation cost.

NOISE REDUCTION AND INTERLACED-TO-PROGRESSIVE CONVERSION BASED ON OPTIMAL ADAPTATION

This paper prcscnts an adaptation scheme for noise reduction (NK) and interlaced-to-progressive conversion (IPC) based on the optimal filter theory. The p~oposcd adaptation scheme pi-ovides effective removal of noise and high quality conversion with considerably less flicker. NK and IPC are combined together so that NK helps the proper operation of IPC, whilc sharing resources and informations.