Image inpainting using directional wavelet packets originating from polynomial splines

The paper presents a new algorithm for the image inpainting problem. uses recently designed versatile library of quasi-analytic complex-valued wavelet packets (qWPs) which originate from polynomial splines arbitrary orders. Tensor products 1D qWPs provide diversity 2D oriented in multiple directions. For example, set fourth-level comprises 62 different properties these such as refined frequency resolution, directionality waveforms with unlimited number orientations, (anti-)symmetry and windowed oscillating structure variety frequencies, make them efficient processing applications, particular, dealing problem addressed paper. obtained results this are quite competitive best state-of-the-art algorithms. is implemented by an iterative scheme, expands Split Bregman Iteration (SBI) procedure supplying it adaptive variable soft thresholding based on Bivariate Shrinkage algorithm. In experiments, performance comparison between qWP-based methods algorithms presented.