Image compression based on periodic principal components
Abstract:
In the present paper, the almost periodicity of the first principal components is studied, with the aim of being able to use less information in order to obtain acceptable reconstructions of compressed images. The results of this study show that by working with the periodic principal components of images under analysis, it is possible to obtain an additional reduction to that obtained by using the original principal components. Specifically, it is shown that if the principal components that are considered periodic are replaced by their period plus a trend, it can be said that the reconstruction achieved using these periodic principal components is very close to the reconstruction achieved using the original principal components.
Año de publicación:
2019
Keywords:
Fuente:
scopusTipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Visión por computadora
- Ciencias de la computación
- Ciencias de la computación
Áreas temáticas de Dewey:
- Métodos informáticos especiales
Procesado con IAObjetivos de Desarrollo Sostenible:
- ODS 9: Industria, innovación e infraestructura
- ODS 17: Alianzas para lograr los objetivos
- ODS 8: Trabajo decente y crecimiento económico
Procesado con IA
