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Exploring Asymmetric Autoencoder Architectures for Computationally Efficient Neural Image Compression

Year: 2025

Type: article

Source: IEEE Design and Test

DOI: 10.1109/mdat.2025.3615794

Authors: Leonardo Augusto, Vitor Arguilar, Thiago L. T. da Silveira, Mateus Grellert

Institutions: Universidade Federal do Rio Grande do Sul, Universidade Federal de Santa Maria

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4414603529

FWCI:

Cites: 5

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