Convolutional neural networks applied to modification of images

TL;DR

This paper explains how convolutional neural networks can be used to modify digital images, covering foundational concepts from filters to advanced machine learning techniques.

Contribution

It introduces the application of convolutional neural networks to image modification, bridging basic image editing concepts with deep learning methods.

Findings

CNNs effectively modify images based on learned features

The paper demonstrates the transition from traditional filters to neural network techniques

Provides educational insight into the mathematical foundations of image editing

Abstract

The reader will learn how digital images are edited using linear algebra and calculus. Starting from the concept of filter towards machine learning techniques such as convolutional neural networks.