ToferFish commited on
Commit
13222c3
·
verified ·
1 Parent(s): 4c91c0d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +189 -3
README.md CHANGED
@@ -1,3 +1,189 @@
1
- ---
2
- license: cc-by-nc-4.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: MuSCAT RawImage
3
+ license: cc-by-nc-4.0
4
+ viewer: false
5
+ tags:
6
+ - astronomy
7
+ - image
8
+ - remote-sensing
9
+ - scientific-data
10
+ - fits
11
+ - raw
12
+ - denoising
13
+ - astrophotography
14
+ - ccd
15
+ task_categories:
16
+ - image-to-image
17
+ language:
18
+ - en
19
+ ---
20
+
21
+ # Dataset Card for MuSCAT-RawImage
22
+
23
+
24
+ ## Dataset Description
25
+
26
+ - **Dataset name:** MuSCAT-RawImage
27
+ - **Repository:** `ToferFish/MuSCAT-RawImage`
28
+ - **Source project:** [ShuhongLL/Denoising-Deep-Sky](https://github.com/ShuhongLL/Denoising-Deep-Sky)
29
+ - **License:** CC BY-NC 4.0
30
+ - **Modality:** Astronomical raw CCD images and calibration products
31
+ - **Format:** Compressed FITS files (`.fits.fz`) plus JSON metadata
32
+
33
+ This dataset contains raw and processed astronomical CCD observations from the MuSCAT instruments, organized for deep-sky image denoising and related low-level image restoration research.
34
+ The repository structure follows the organization used in the Denoising-Deep-Sky project, where data are grouped by **instrument**, **band**, and **observation session**.
35
+
36
+ The data are intended primarily for:
37
+
38
+ - astronomical image denoising
39
+ - raw-to-clean image restoration
40
+ - CCD noise modeling
41
+ - calibration-aware image processing
42
+ - benchmarking denoising methods on real telescope data
43
+
44
+ ## Dataset Structure
45
+
46
+ The dataset is organized by instrument, spectral band, and observation session.
47
+
48
+ A typical directory layout is:
49
+
50
+ ```text
51
+ dataset_root/
52
+ ├── muscat3_g/
53
+ │ ├── <observation_id_1>/
54
+ │ │ ├── calib/
55
+ │ │ │ ├── BIAS_*.fits.fz
56
+ │ │ │ ├── BPM_*.fits.fz
57
+ │ │ │ ├── DARK_*.fits.fz
58
+ │ │ │ └── SKYFLAT_*.fits.fz
59
+ │ │ ├── data/
60
+ │ │ │ ├── <obs_id>_calib.fits.fz
61
+ │ │ │ ├── <obs_id>_mask.fits.fz
62
+ │ │ │ ├── <obs_id>_mean.fits.fz
63
+ │ │ │ ├── <obs_id>_os.fits.fz
64
+ │ │ │ └── <obs_id>_raw.fits.fz
65
+ │ │ ├── e91/
66
+ │ │ ├── calib.json
67
+ │ │ └── info.json
68
+ │ └── <observation_id_2>/
69
+ │ └── ...
70
+ └── muscat4_i/
71
+ └── ...
72
+ ```
73
+
74
+ ## Data Contents
75
+
76
+ Each observation directory may include the following components.
77
+
78
+ ### Calibration files (`calib/`)
79
+
80
+ - `BIAS_*.fits.fz`
81
+ Master bias frame. Represents the electronic offset estimate.
82
+
83
+ - `BPM_*.fits.fz` (Empty)
84
+ Bad pixel map.
85
+
86
+ - `DARK_*.fits.fz`
87
+ Master dark-current template.
88
+
89
+ - `SKYFLAT_*.fits.fz`
90
+ Sky flat used for pixel-response and vignetting correction.
91
+
92
+ ### Observation data (`data/`)
93
+
94
+ - `<obs_id>_raw.fits.fz`
95
+ Raw CCD frame.
96
+
97
+ - `<obs_id>_os.fits.fz`
98
+ Overscan-corrected frame, typically used as the noisy input.
99
+
100
+ - `<obs_id>_calib.fits.fz`
101
+ Calibrated frame.
102
+
103
+ - `<obs_id>_mean.fits.fz`
104
+ High-SNR stacked reference frame built from multiple exposures.
105
+
106
+ - `<obs_id>_mask.fits.fz`
107
+ Background/source mask.
108
+
109
+ ### Additional files
110
+
111
+ - `e91/`
112
+ Additional calibrated frames used to construct stacked references.
113
+
114
+ - `calib.json`
115
+ Calibration-related metadata.
116
+
117
+ - `info.json`
118
+ Observation/session metadata.
119
+
120
+ ## Data Fields
121
+
122
+ This repository does not follow a tabular row-based structure.
123
+ Instead, each sample is stored as a set of FITS files and JSON metadata under one observation directory.
124
+
125
+ Important file-level fields include:
126
+
127
+ - **instrument**: e.g. MuSCAT-3 or MuSCAT-4
128
+ - **band**: e.g. `g`, `r`, `i`
129
+ - **observation_id**: identifier for one observation session
130
+ - **raw frame**: original CCD image
131
+ - **overscan-corrected frame**: original CCD image - overscan
132
+ - **calibrated frame**: processed image using calibration products
133
+ - **mean frame**: stacked high-SNR reference image
134
+ - **mask**: source/background mask (background = 1, source = 0)
135
+ - **calibration metadata**: gain, dark, bias, flat-related information when available
136
+
137
+ ## Supported Tasks and Use Cases
138
+
139
+ This dataset is suitable for:
140
+
141
+ - real-world astronomical image denoising
142
+ - supervised image-to-image restoration
143
+ - physics-based CCD noise modeling
144
+ - calibration-aware low-level vision
145
+ - benchmarking telescope image restoration pipelines
146
+
147
+ Possible training pairs include:
148
+
149
+ - original pairs: `*_os.fits.fz` ----> `*_calib.fits.fz`
150
+ - synthesized pairs: `*_syn.fits.fz` ----> `*_mean.fits.fz`
151
+
152
+ Depending on the experiment design, users may also incorporate:
153
+
154
+ - `*_raw.fits.fz`
155
+ - `*_calib.fits.fz`
156
+ - calibration frames from `calib/`
157
+ - masks from `*_mask.fits.fz`
158
+
159
+ ## Loading the Data
160
+
161
+ Because the dataset is distributed as FITS files instead of a standard row-based file format such as CSV or Parquet, it is generally intended to be accessed as files from the repository rather than directly through the default Hugging Face dataset viewer.
162
+
163
+ Example with Python:
164
+
165
+ ```python
166
+ from astropy.io import fits
167
+
168
+ path = "muscat3_g/<observation_id>/data/<obs_id>_raw.fits.fz"
169
+
170
+ with fits.open(path) as hdul:
171
+ image = hdul[1].data
172
+ header = hdul[1].header
173
+
174
+ print(image.shape)
175
+ print(header)
176
+ ```
177
+
178
+ ## Citation
179
+ If you use this dataset, please cite the original project:
180
+ ```bibtex
181
+ @misc{liu2025denoisingdeepsky,
182
+ title={Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging},
183
+ author={Shuhong Liu and Xining Ge and Ziying Gu and Quanfeng Xu and Ziteng Cui and Lin Gu and Xuangeng Chu and Jun Liu and Dong Li and Tatsuya Harada},
184
+ year={2025},
185
+ eprint={2508.08079},
186
+ archivePrefix={arXiv},
187
+ primaryClass={cs.CV}
188
+ }
189
+ ```