Welcome to the Bristol Hyperspectral Images Database. (This website is currently hosted at the Computer Vision Centre, Universitat Autònoma de Barcelona)
	These images were collected between September 1993 and January 1994 by a team of vision scientists working at the Department of Experimental Psychology in Bristol University. All image gathering was made in Bristol and surrounding areas.
The hyperspectral camera used was made and calibrated by , G.J.Brelstaff, D.Carr, T.Troscianko and K.Nelson. The images were collected by C.A.Parraga, G.J.Brelstaff and K.Nelson, all working for Bristol University at the time.
The database consists of 29 scenes, each composed by 31 spectrally filtered images (256 x 256 x 256 greylevels). Each scene has been compressed (zipped) and can be downloaded separately by clicking on the corresponding picture. Please bear in mind that all individual images have a 32 bytes header. To download the whole database at once, just click here.
There is some code and miscellaneous files here (these need to be run in order to make use of the images as physical measurements). A more complete description on how the images were gathered and some issues on the camera's technicalities can be found here.
This is (as far as I know) the oldest public dataset of hyperspectral natural images and has been the source of several publications, e.g. Hansen T & Gegenfurtner KF Independence of color and luminance edges in natural scenes. Vis. Neurosci. 26(1):35-49 . (2009). Lee TW, Wachtler T, Sejnowski TJ, 'Color opponency is an efficient representation of spectral properties in natural scenes' Vision Research 42 (17): 2095-2103 (2002). Parraga CA, Brelstaff G, Troscianko T, Moorhead IR, 'Color and luminance information in natural scenes' Journal of the Optical Society of America A-Optics, Images Science and Vision 15 (3): 563-569 (1998). Download. G. Brelstaff, A. Párraga, T. Troscianko and D. Carr, 'Hyper-spectral camera system:- acquisition and analysis,' SPIE. Vol. 2587. Geog. Inf. Sys. Photogram. and Geolog./Geophys. Remote Sensing, 150-159 (1995). Download. M.Sc. Degree Thesis: submitted in accordance to the regulations for the degree of Master of Science at the University of Bristol, England. Title: "Spatiochromatic information content of natural scenes". (1995). Download.
You may use this image database for research purposes on condition that you acknowledge the source. (Please cite Parraga CA, Brelstaff G, Troscianko T, Moorhead IR, Journal of the Optical Society of America 15 (3): 563-569, 1998 or G. Brelstaff, A. Párraga, T. Troscianko and D. Carr, SPIE. Vol. 2587. Geog. Inf. Sys. Photogram. and Geolog./Geophys. Remote Sensing, 150-159, 1995, whichever is more appropriate).
Click on the pictures below to download individual images. Please notice that .gif thumbnails show only a very rough representation of the whole scene.

Welcome to the Bristol Hyperspectral Images Database.

(This website is currently hosted at the Computer Vision Centre,
Universitat Autònoma de Barcelona)

These images were collected between September 1993 and January 1994 by a team of vision scientists working at the Department of Experimental Psychology in Bristol University. All image gathering was made in Bristol and surrounding areas.

The hyperspectral camera used was made and calibrated by , G.J.Brelstaff, D.Carr, T.Troscianko and K.Nelson. The images were collected by C.A.Parraga, G.J.Brelstaff and K.Nelson, all working for Bristol University at the time.

The database consists of 29 scenes, each composed by 31 spectrally filtered images (256 x 256 x 256 greylevels). Each scene has been compressed (zipped) and can be downloaded separately by clicking on the corresponding picture. Please bear in mind that all individual images have a 32 bytes header. To download the whole database at once, just click here.

There is some code and miscellaneous files here (these need to be run in order to make use of the images as physical measurements). A more complete description on how the images were gathered and some issues on the camera's technicalities can be found here.

This is (as far as I know) the oldest public dataset of hyperspectral natural images and has been the source of several publications, e.g.

Hansen T & Gegenfurtner KF Independence of color and luminance edges in natural scenes. Vis. Neurosci. 26(1):35-49 . (2009).

Lee TW, Wachtler T, Sejnowski TJ, 'Color opponency is an efficient representation of spectral properties in natural scenes' Vision Research 42 (17): 2095-2103 (2002).

Parraga CA, Brelstaff G, Troscianko T, Moorhead IR, 'Color and luminance information in natural scenes' Journal of the Optical Society of America A-Optics, Images Science and Vision 15 (3): 563-569 (1998). Download.

G. Brelstaff, A. Párraga, T. Troscianko and D. Carr, 'Hyper-spectral camera system:- acquisition and analysis,' SPIE. Vol. 2587. Geog. Inf. Sys. Photogram. and Geolog./Geophys. Remote Sensing, 150-159 (1995). Download.

M.Sc. Degree Thesis: submitted in accordance to the regulations for the degree of Master of Science at the University of Bristol, England. Title: "Spatiochromatic information content of natural scenes". (1995). Download.

You may use this image database for research purposes on condition that you acknowledge the source. (Please cite Parraga CA, Brelstaff G, Troscianko T, Moorhead IR, Journal of the Optical Society of America 15 (3): 563-569, 1998 or G. Brelstaff, A. Párraga, T. Troscianko and D. Carr, SPIE. Vol. 2587. Geog. Inf. Sys. Photogram. and Geolog./Geophys. Remote Sensing, 150-159, 1995, whichever is more appropriate).

Click on the pictures below to download individual images. Please notice that .gif thumbnails show only a very rough representation of the whole scene.