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 # MicroSSIM
 
+[![License](https://img.shields.io/pypi/l/microssim.svg?color=green)](https://github.com/juglab/MicroSSIM/blob/main/LICENSE)
+[![PyPI](https://img.shields.io/pypi/v/microssim.svg?color=green)](https://pypi.org/project/microssim)
+[![Python Version](https://img.shields.io/pypi/pyversions/microssim.svg?color=green)](https://python.org)
+[![CI](https://github.com/juglab/MicroSSIM/actions/workflows/ci.yml/badge.svg)](https://github.com/juglab/MicroSSIM/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/gh/juglab/MicroSSIM/branch/main/graph/badge.svg)](https://codecov.io/gh/juglab/MicroSSIM)
+
+
+
 MicroSSIM is an image measure aimed at addressing the shortcomings of the Structural
 Similarity Index Measure (SSIM), in particular in the context of microscopy images. Indeed,
 in microscopy, degraded images (e.g. lower signal to noise ratio) often have a different
@@ -72,4 +80,4 @@ or test datasets) using the `score` method.
 
 If you use MicroSSIM in your research, please cite us:
 
-Ashesh, Ashesh, Joran Deschamps, and Florian Jug. "MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data." arXiv preprint arXiv:2408.08747 (2024). [link](https://arxiv.org/abs/2408.08747).
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+Ashesh, Ashesh, Joran Deschamps, and Florian Jug. "MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data." arXiv preprint arXiv:2408.08747 (2024). [link](https://arxiv.org/abs/2408.08747).