Algorithm and VLSI Architecture of Edge-Directed Image Upscaling for 4k Display System

作者：Chen, Qiubo; Sun, Hongbin^*; Zhang, Xuchong; Tao, Huibin; Yang, Jie; Zhao, Jizhong; Zheng, Nanning

来源：IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(9): 1758-1771.

DOI：10.1109/TCSVT.2015.2473255

• Adaptive interpolation
• image upscaling
• real time
• very-large-scale integration (VLSI) architecture

High-quality and cost-efficient image upscaling design is very important for many real-time video processing applications, especially when the display panel resolution reaches ultrahigh definition. Compared with New Edge-Directed Interpolation (NEDI) based implicit edge directional upscaling, explicit methods require less computational resource and more easily reach real-time performance, especially when the required image definition and upscaling ratio are very high. Nevertheless, the investigation of applications of explicit methods in video processing systems remains largely missing arguably because it is commonly believed that explicit edge-directed interpolation tends to introduce unexpected artifacts because of inaccurate detection and hence its image quality is relatively poor. This paper proposes an explicit edge-directed adaptive interpolation method that leverages more sophisticated edge detection and orientation estimation algorithms to avoid misinterpolation, thereby providing similar or even better image quality than those with implicit methods. Targeting the real-time 4K video display system, the proposed edge-directed image upscaling algorithm is further implemented with an efficient very-large-scale integration (VLSI) architecture. The experimental results demonstrate that the proposed interpolation algorithm outperforms previous explicit and implicit edge-directed methods in both objective and subjective tests. The presented VLSI implementation further demonstrates that the maximum output video sequence of the proposed interpolation method can reach 4k x 2k@60 Hz with a reasonable hardware cost.

• 出版日期2016-9
• 单位西安交通大学