Home // International Journal On Advances in Software, volume 15, numbers 3 and 4, 2022 // View article

Improving Image Tracing with Convolutional Autoencoders by High-Pass Filter Preprocessing

Authors:
Zineddine Bettouche
Andreas Fischer

Keywords: —image quality; vector graphics; principal component analysis; neural networks; autoencoders; high-pass filters; vectorization; complexity theory; and information technology.

Abstract:
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.

Pages: 141 to 151

Copyright: Copyright (c) to authors, 2022. Used with permission.

Publication date: December 31, 2022

Published in: journal

ISSN: 1942-2628