Deep Convolutional Framelet Denoising for Panoramic by Mixed Wavelet Integration

arXiv:2302.10306v2 Announce Type: replace
Abstract: Enhancing quality and removing noise during preprocessing is one of the most critical steps in image processing. X-ray images are created by photons colliding with atoms and the variation in scattered noise absorption. This noise leads to a deterioration in the graph's medical quality and, at times, results in repetition, thereby increasing the patient's effective dose. One of the most critical challenges in this area has consistently been lowering the image noise. Techniques like BM3d, …

abstract arxiv cs.cv denoising eess.iv graph image image processing images integration leads medical mixed noise processing quality ray the graph type variation wavelet x-ray