You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...

Recently, an extensive range of digital signal processing, image processing, and pattern recognition applications have been getting an increasing interest in geoscience research. The purpose of this ...

Take the example of edge detection in photos, which usually relies on convolutional neural networks (CNNs). In a CNN, the convolution layer runs a filter (called a "kernel") over every area of the ...

Abstract: The logarithmic image processing model (LIP) is a robust mathematical framework, which, among other benefits, behaves invariantly to illumination changes. This paper presents, for the first ...

This package wraps the core functionality of libvips image processing library by exposing all image operations on first-class types in Go. Libvips is generally 4-8x faster than other graphics ...

Abstract: The logarithmic image processing model (LIP) is a robust mathematical framework, which, among other benefits, behaves invariantly to illumination changes. This paper presents, for the first ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...