Publication

Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts

Graph Chatbot

Chat with Graph Search

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression

An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs

FEM of stress partition during compression of WC-10 wt.% Co with realistic 3D morphology

reference image data (primary views) for an office building near LAX

Review of subjective quality assessment methodologies and standards for compressed images evaluation

Spectral Measurement and Classification in the Era of Big Data

Learning, compression, and leakage: Minimising classification error via meta-universal compression principles

A Real-time Synchrophasor Data Compression Method Using Singular Value Decomposition