2D Image Convolution with Python
This article discusses how to implement 2D image convolution in Python using NumPy, including handling edge cases and padding.
This article discusses how to implement 2D image convolution in Python using NumPy, including handling edge cases and padding.
Stanford University's CS231n course notes on convolutional neural networks, including a section on 2D convolution with padding and edge handling.
The official OpenCV documentation provides an example of how to perform 2D image convolution with padding and edge handling using Python.
A GitHub repository providing a Python implementation of a 2D convolution kernel with padding and edge handling, along with example use cases.
The SciPy documentation includes a section on image processing, covering topics such as 2D convolution, padding, and edge handling.
A YouTube video tutorial on convolutional image processing with Python, covering 2D convolution, padding, and edge handling.
A research paper on 2D image convolution with padding and edge handling, including a Python implementation and experimental results.
A Python library for image convolution, including support for 2D convolution with padding and edge handling, available on PyPI.