Dataset Open Access
Jérôme Buisine;
Samuel Delepoulle;
Rémi Synave;
Christophe Renaud
Christophe Renaud; Samuel Delepoulle
Realistic image computation mimics the natural process of acquiring pictures by simulating the physical interactions of light between all the objects, lights and cameras lying within a modelled 3D scene. This process is known as global illumination and was formalised by Kajiya with the following rendering Equation:
\(\begin{equation} \label{eq:rendering_equation} L_o(x, \omega_o) = {L_e(x, \omega_o)} + \int_{\Omega}^{} {L_i(x, \omega_i)} \cdot f_r(x, \omega_i \rightarrow \omega_o) \cdot \cos \theta_i d\omega_i \end{equation}\)
where:
This equation cannot be analytically solved and Monte Carlo approaches are generally used to estimate the value of the pixels of the final image.
This proposed dataset is composed of 80 points of view of photo realistics images with different level of samples (following the Monte Carlo approach) for each. Each image is 800 x 800 pixels in size. The most noisy image is of 20 samples and the reference one (the most converged image obtained) is of 10000 samples. The pbrt rendering engine (version 3) was used to generate these images.
By exploiting these levels of samples obtained and therefore of noise perceptible in the images, average subjective human thresholds were collected. For this purpose, the images were divided into 16 areas of 200 x 200 pixels in size for each point of view.
The proposed image database is composed of the following files:
This image database has been exploited in order to propose an objective model for noise detection in photo-realistic computer-generated images (article referenced to this image database).
Funding: This research was funded by ANR support: project ANR-17-CE38-0009.
Name | Size | |
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human-thresholds.csv
md5:04d6de6e29b94a2b3a046aba6efd8630 |
4.3 kB | Download |
SIN3D_dataset.tar.gz
md5:95443157c701c7e3de8f47f963cdc41d |
35.6 GB | Download |
Buisine, Jérôme, et al. "Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy." Entropy 23.1 (2021): 75.
All versions | This version | |
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Views | 25 | 25 |
Downloads | 19 | 19 |
Data volume | 71.2 GB | 71.2 GB |
Unique views | 10 | 10 |
Unique downloads | 9 | 9 |