A Novel Frame Rate Up-Conversion Algorithm Based on Soft Threshold Bandelet Transform

作者：Deng, Mingjun^*; Tian, Fengchun; Ran, Jian; Shi, Zhiyong; Zhang, Li

来源：International Journal of Pattern Recognition and Artificial Intelligence, 2016, 30(7): 1650017.

DOI：10.1142/S0218001416500178

• Bandelet transform
• block matching
• frame rate up-conversion
• motion compensation
• motion estimation

The most important part of frame rate up-conversion (FRUC) is block matching. The geometric properties of the image were not taken into consideration in traditional block matching algorithm, so the matching result of motion estimation cannot reach the optimal. A novel FRUC algorithm based on Bandelet was proposed in this paper. The algorithm includes: Firstly, a soft threshold Bandelet transform of matching block was performed. The optimal matching block was determined through detection of direction similarity and Bandelet coefficient similarity; secondly, vector median filtering (VMF) and overlapped block motion compensation (OBMC) were carried out by adopting motion vector to realize interpolated frame algorithm. Experimental results show that the FRUC algorithm based on Bandelet can further promote the quality of FRUC.

• 出版日期2016-8
• 单位重庆大学