AbstractMany recent inpainting works have achieved impressive results by leveraging Deep Neural Networks (DNNs) to model various prior information for image restoration. Unfortunately, the performance of these methods is largely limited representation ability vanilla Convolutional (CNNs) backbones. On other hand, Vision Transformers (ViT) with self-supervised pre-training shown great potential ...

GLCM is a feature extraction method that uses statistical analysis using gray scale. Contrast, correlation, energy and entropy are features whose value will be sought as the basis for finding threshold which can then used to find in image segmentation. In this study, local-based where has been made into grayscale divided 16 parts of same size. Each section look its features, namely entropy. The...