Improving Image Tracing with Convolutional Autoencoders by High-Pass
  Filter Preprocessing
Zineddine Bettouche Andreas Fischer
The process of transforming a raster image into a vector representation is
known as image tracing. This study looks into several processing methods that
include high-pass filtering, autoencoding, and vectorization to extract an
abstract representation of an image. According to the findings, rebuilding an
image with autoencoders, high-pass filtering it, and then vectorizing it can
represent the image more abstractly while increasing the effectiveness of the
vectorization process.