Blinorot/lensless_mic_random

Dataset Card for LenslessMic Version of N(0,1) Random Dataset

Dataset Summary

A LenslessMic version of the N(0,1) random images dataset from the "LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging" paper. The dataset can be used to train a codec-agnostic reconstruction algorithm.

Partition	# Audio	# Frames
train	200	30000

Note: We split dataset into 200 files, however, there are no actual audio files. Only frames are used.

To download the dataset and work with it, use our official repository.

Dataset is collected using DigiCam. Setup configuration:

Parameter	Value
Screen Size	[1920, 1200]
Screen Pixel-Pitch	0.27 mm
Screen-To-Mask Distance	30e-2 m
Sensor Size	[4056, 3040]
Sensor Size Downsample Coefficient	8
Sensor Pixel-Pitch	1.55 × 10⁻⁶ m
Mask-To-Sensor Distance	≈ 4e-3 m
Image size on the Screen (256 case)	928 × 928
Image size on the Screen (288 case)	1044 × 1044
Vertical Shift on the Screen (256 case)	-23
Vertical Shift on the Screen (288 case)	-20
Number of masks	100
Mask Aperture Shape (for 1/3 channels)	[18, 24]
Mask Center	[55, 77]

For other configuration, please refer to the codebase above.

Dataset Structure

Dataset is structured in the following format:

.
└── partition_name
    └── image_size # 16x16 or 32x32
        ├── lensed # lensed version of the video representation
        |   └── filename_i.mkv # normalized video representation of i-th audio file using this codec
        └── lensless_measurement # lensless version captured using LenslessMic
            ├── filename_i.mkv # lensless video of the i-th audio file
            ├── filename_i.txt # label 'j' of the mask from the masks dir used for this video
            └── masks # masks for the lensless camera
                └── mask_j.npy # mask pattern

Apart from other LenslessMic datasets, this one does not use any audio codecs. These are just random images from N(0,1). The dataset can be used to train a codec-agnostic reconstruction algorithm. No min/max vals are used (set to 0 and 1).

Some codecs have different types of lensless measurements:

1. lensless_measurement: standard version. Resizes images in a screen in a such a way that they have size 256x256 on the sensor.

Region of interest for the reconstruction for this dataset is:

Sensor Image Size	Top Left Corner	Height	Width
256 x 256	[65, 118]	256	256

Citation

If you use this dataset, please cite it as follows:

@article{grinberg2025lenslessmic,
  title = {LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging},
  author = {Grinberg, Petr and Bezzam, Eric and Prandoni, Paolo and Vetterli, Martin},
  journal = {arXiv preprint arXiv:2509.16418},
  year = {2025},
}