Smoothing and sharpening are two fundamental image processing operations. The latter is usually related to the former through unsharp masking algorithm. In this paper, we develop a new type of filter which performs smoothing or via tuning parameter. development based on (1) Laplacian-based formulation unifies operations, (2) patch interpolation model similar that used in guided provides edge-aw...

By studying two unsharp quantum structures, namely extended lattice ordered effect algebras and lattice ordered QMV algebras, we obtain some characteristic theorems of MV algebras. We go on to discuss automata theory based on these two unsharp quantum structures. In particular, we prove that an extended lattice ordered effect algebra (or a lattice ordered QMV algebra) is an MV algebra if and on...

X-ray is the most accessible imaging modality for detecting Covid-19 infection. However, image resolution depends on amount of radiation dose. The Lesser dosage, lower resolution, higher noise and patient safety. Detecting infection would be more precise with high-resolution chest images. current article explores an edge-preserving single-scale residual learning-based super-resolution method to...

Cholesterol is a type of lipid found in the human body and susceptible to abnormalities. It can be detected via profiling through blood sampling. In addition, cholesterol presence "sodium ring" eye iris called corneal arcus (CA), presenting new preliminary detection method that less invasive. Therefore, this paper proposed non-invasive detecting based on convolutional neural network (CNN) model...

Technical limitations in image capturing usually impose defective, such as contrast degradation. There are different approaches to improve the contrast of an image. Among the exiting approaches, un-sharp masking is a popular method due to its simplicity in implementation and computation. There is an important parameter in un-sharp masking, named gain factor, which affects the quality of the enh...

Abstract Monocular Visual Simultaneous Localisation and Mapping (VSLAM) systems are widely utilised for intelligent mobile robots to work in unknown environments. However, complex varying illuminations challenge the accuracy robustness of VSLAM significantly. Existing feature-based methods often fail due insufficient feature points that can be extracted those challenging illumination Therefore,...

In clinical treatment, deep learning plays a pivotal role in medical image classification. Deep techniques provide opportunities for radiologists and orthopedic to ease out their lives with faster more accurate results. The traditional approach nevertheless reached its performance ceiling. Therefore, this paper, we investigate different enhancement boost the neural networks solution as BoostNet...

Much recent philosophical attention has been devoted to variants on the Best System Analysis of laws and chance. In particular, philosophers have been interested in the prospects of such Best System Analyses (BSAs) for yielding high-level laws and chances. Nevertheless, a foundational worry about BSAs lurks: there do not appear to be uniquely appropriate measures of the degree to which a system...