Understanding Interpolation in Image Processing In image processing and object detection, interpolation methods are essential tools for resizing images while maintaining their quality as much as ...

The existing spatial interpolation methods in the prediction of soil heavy metal distribution are generally based on spatial auto correlation theory, rarely considering the pollution patterns. By ...

Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland. Three-dimensional (3D) X-ray imaging is typically needed for measuring the inner structures of a patient. For ...

Introduction: Suspended Particulate Matter (SPM) influences the primary production and the distributions of pollutants in the ocean. Besides, the regulation mechanisms of SPM in the Liaodong Bay were ...

Department of Computer Science and Management. For N = 2 we have one matrix:. For N = 4 there are three matrices with integer entries: For N = 8 we have seven matrices with elements 0, ±1 [7]. in ...

This is a project for the course of Neural Networks for Data Science Applications. It is based on this paper by Niklaus, Mai and Liu. The purpose of this project is to reproduce the video frame ...

School of Computer and Information Science, Southwest University, Chongqing, China With the continuous improvement of medical imaging equipment, CT, MRI and PET images can obtain accurate anatomical ...