Hyperspectral Database – Early Access

The ICVL website is currently undergoing renovations, in order to allow rapid access to the database described in “Sparse Recovery of Hyperspectral Signal from Natural RGB Images“, we provide a list of flies below.

The database images were acquired using a Specim PS Kappa DX4 hyperspectral camera and a rotary stage for spatial scanning. At this time it contains 200 images and will continue to grow progressively.

Images were collected at 1392×1300 spatial resolution over 519 spectral bands (400-1,000nm at roughly 1.25nm increments). The .raw files contain raw out-of-camera data in ENVI format and .hdr files contain the headers required to decode them. For your convenience, .mat files are provided, downsampled to 31 spectral channels from 400nm to 700nm at 10nm increments.

This page will be updated shortly with additional information.

For questions, comments and technical assistance, please comtact iCVL@cs.bgu.ac.il

When used, fully or partially, please cite “Arad and Ben-Shahar, Sparse Recovery of Hyperspectral Signal from Natural RGB Images, in the European Conference on Computer Vision, Amsterdam, The Netherlands, October 11–14, 2016”

@inproceedings{arad_and_ben_shahar_2016_ECCV,
  title={Sparse Recovery of Hyperspectral Signal from Natural RGB Images},
  author={Arad, Boaz and Ben-Shahar, Ohad},
  booktitle={European Conference on Computer Vision},
  pages={19--34},
  year={2016},
  organization={Springer}
}

*RGB renderings are for reference only, and do not depict an expected camera response.

Phones:	+972-8-647-7818/9
Fax:	+972-8-647-7975
E-mail:	iCVL@cs.bgu.ac.il
Director:	Prof. Ohad Ben-Shahar
Seminar Coordinator:	Ilan Git
Web Master:	Roy Toren

Address:	The interdisciplinary Computational Vision Laboratory (iCVL) Computer Science Department Ben-Gurion University, P.O.Box 653, Beer-Sheva 84105, Israel
Location:	BGU Campus, Building 37, Lab -103 (one floor below ground floor)

Hyperspectral Database – Early Access

4cam_0411-1640-1

4cam_0411-1648

bguCAMP_0514-1659

bguCAMP_0514-1711

bguCAMP_0514-1712

bguCAMP_0514-1718

bguCAMP_0514-1723

bguCAMP_0514-1724

BGU_0403-1419-1

bgu_0403-1439

bgu_0403-1444

bgu_0403-1459

bgu_0403-1511

bgu_0403-1523

bgu_0403-1525

BGU_0522-1113-1

BGU_0522-1127

BGU_0522-1136

BGU_0522-1201

BGU_0522-1203

BGU_0522-1211

BGU_0522-1216

BGU_0522-1217

bulb_0822-0903

bulb_0822-0909

CC_40D_2_1103-0917

eve_0331-1549

eve_0331-1551

eve_0331-1601

eve_0331-1602

eve_0331-1606

eve_0331-1618

eve_0331-1632

eve_0331-1633

eve_0331-1646

eve_0331-1647

eve_0331-1656

eve_0331-1657

eve_0331-1702

eve_0331-1705

Flower_0325-1336

gavyam_0823-0930

gavyam_0823-0933

gavyam_0823-0944

gavyam_0823-0945

gavyam_0823-0950-1

grf_0328-0949

hill_0325-1219

hill_0325-1228

hill_0325-1235

hill_0325-1242

IDS_COLORCHECK_1020-1215-1

IDS_COLORCHECK_1020-1223

Labtest_0910-1502

Labtest_0910-1504

Labtest_0910-1506

Labtest_0910-1509

Labtest_0910-1510

Labtest_0910-1511

Labtest_0910-1513

lehavim_0910-1600

lehavim_0910-1602

lehavim_0910-1605

lehavim_0910-1607

lehavim_0910-1610

Lehavim_0910-1622

Lehavim_0910-1626

Lehavim_0910-1627

Lehavim_0910-1629

Lehavim_0910-1630

Lehavim_0910-1633

Lehavim_0910-1635

Lehavim_0910-1636

Lehavim_0910-1640

Lehavim_0910-1708

Lehavim_0910-1716

Lehavim_0910-1717

Lehavim_0910-1718

Lehavim_0910-1725