GranTEX – Image, Video, and Usability Lab

Texture Granularity Database (GranTEX)

The GranTEX database has 30 images of textures with different granularity levels. The granularity of the selected textures in the database can be classified into three levels — low, medium and high. These textures along with their subjective granularity scores are available as a part of this database.

Copyright

Contact: Lina Karam ([email protected]) and Mahesh Subedar([email protected])

Image, Video, and Usabilty (IVU) Lab, http://ivulab.asu.edu , Arizona State University

This copyright notice must also be included in any file or product that is derived from the database.

Redistribution and use of this database with or without modification are permitted provided that the following conditions are met:
- Redistribution's of database must retain the above copyright notice, this list of conditions and the following disclaimer.
- The Image, Video, and Usability Laboratory (IVU Lab, http://ivulab.asu.edu) is acknowledged in any publication that reports research results using this database, or modifications of this database.
- The following publication is to be cited in any publication that reports research results using this database, or modifications of this database:

Subedar, Mahesh M., and Lina J. Karam. "A subjective study and an objective metric to quantify the granularity level of textures.", IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2015.

DISCLAIMER:

This database is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed.

In no event shall the Arizona Board of Regents, Arizona State University, IVU Lab members, authors or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this database, even if advised of the possibility of such damage.

Description of the GranTEX database

Original Textures:

Textures in images represent intensity variations of the pixels. The amount of details present in textures can be quantified based on the granularity level. The texture granularity is directly related to the size of texture primitives present in the image. A texture primitive is referred to as the smallest recognizable repetitive object observed in the image. A texture with a high granularity level will have smaller size primitives, while a texture with a low granularity level will have larger size primitives.

The selected texture images in this database are typically found in natural and man-made objects seen around us. All the images in the database are cropped to a common size of 512×512 pixels. The images are stored in a 24 bits-per-pixel RGB format.

Subjective Study:

A subjective study is conducted to measure the perceived granularity level of textures in the GranTEX database. A single stimulus subjective testing is performed, where the subjects were asked to judge the granularity of the individual textures on a scale of 1 to 3 (1=>low, 2=>medium and 3=>high) values. A total of 15 subjects volunteered to participate in this subjective study. The subjective granularity scores are provided as part of this database.

A total of 15 subjects volunteered to participate in this subjective study.

By downloading the GranTEX database, you agree to the above COPYRIGHT NOTICE, CONDITIONS, AND DISCLAIMER.