Image inpainting using directional wavelet packets originating from polynomial splines
作者：
Highlights：
• The paper presents a new algorithm for image inpainting.
• It uses a recently designed versatile library of quasi-analytic complex-valued wavelet packets (qWPs).
• qWPs originate from polynomial splines of arbitrary orders.
• Tensor products of 1D qWPs provide a diversity of 2D qWPs oriented in multiple directions.
• The properties of the qWPs include unlimited number of orientations of waveforms and their windowed oscillating structure with a variety of frequencies.
• These properties make them efficient in image processing applications.
• The obtained results for the inpainting problem are competitive with the best state-of-the-art algorithms.
摘要
•The paper presents a new algorithm for image inpainting.•It uses a recently designed versatile library of quasi-analytic complex-valued wavelet packets (qWPs).•qWPs originate from polynomial splines of arbitrary orders.•Tensor products of 1D qWPs provide a diversity of 2D qWPs oriented in multiple directions.•The properties of the qWPs include unlimited number of orientations of waveforms and their windowed oscillating structure with a variety of frequencies.•These properties make them efficient in image processing applications.•The obtained results for the inpainting problem are competitive with the best state-of-the-art algorithms.
论文关键词：
论文评审过程：Received 23 August 2020, Revised 5 April 2021, Accepted 17 May 2021, Available online 2 June 2021, Version of Record 2 June 2021.
论文官网地址：https://doi.org/10.1016/j.image.2021.116334
