A local adaptive weighted interpolation for deinterlacing

作者：Chen Xiangdong; Jeon Gwanggil^*; Jeong Jechang

来源：Digital Signal Processing, 2013, 23(5): 1463-1469.

DOI：10.1016/j.dsp.2013.06.012

• Deinterlacing
• Adaptive weighted filter
• Center-independent interpolation
• Image quality

In this paper, a local weighted interpolation method for intra-field deinterlacing is proposed as an improved version of the DCS (deinterlacing with awareness of closeness and similarity) algorithm. The original DCS method is derived from bilateral filter which takes the local spatial closeness and pixel similarity into account when calculating the weight of interpolation. The proposed algorithm achieves three improvements: 1) instead of the line average, a more accurate interpolation filter is used to estimate the center missing pixel; 2) the center-independent interpolation method is proposed to replace the center-dependent interpolation strategy; 3) the adaptive weighted interpolation method is used to improve the accuracy of interpolation. Experimental results show that the proposed algorithm provides superior performance in terms of both objective and subjective image qualities when compared with other conventional benchmarks, including DCS algorithms with low complexity.

• 出版日期2013-9
• 单位南京邮电大学