The University of Southampton
University of Southampton Institutional Repository

Query by low-quality image

Fauzi, Mohammad Faizal Ahmad and Lewis, Paul H. (2009) Query by low-quality image Image and Vision Computing, 27, (6), pp. 713-724. (doi:10.1016/j.imavis.2008.07.007).

Record type: Article


The motivation for research on low-quality images comes from a requirement by some museums to respond to queries for pictorial information, submitted in the form of fax messages or other low-quality monochrome images of works of art. The museums have databases of high-resolution images of their artefact collections and the person submitting the query is asking typically whether the museum holds the artwork shown or perhaps some similar work. Often the query image will have no associated metadata and will be produced from a low-resolution picture of the original artwork. The resulting poor quality image, received by the museum, leads to very poor retrieval accuracy when the fax is used in standard query by example searches using, for example, colour, spatial colour or texture matching algorithms. We propose a special retrieval algorithm in order to improve the retrieval accuracy in query by low-quality image application and evaluate it in comparison with more conventional algorithms. Throughout this paper, fax images will be used as the main source of low-quality image for query by low-quality image experiments. Nonetheless, some other forms of low-quality image will also be considered.

PDF Query_by_Low_Quality_Image.pdf - Other
Download (667kB)

More information

Published date: 4 May 2009
Keywords: content-based image retrieval, low-quality image analysis, wavelet transform
Organisations: Web & Internet Science


Local EPrints ID: 267645
ISSN: 0262-8856
PURE UUID: 58a5a007-8429-4f72-a827-6142ff6df952

Catalogue record

Date deposited: 01 Jul 2009 14:50
Last modified: 18 Jul 2017 07:01

Export record



Author: Mohammad Faizal Ahmad Fauzi
Author: Paul H. Lewis

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.