Warning: pg_query(): Query failed: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 in /dati/webiit-old/includes/database.pgsql.inc on line 138 Warning: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 query: SELECT data, created, headers, expire, serialized FROM cache_page WHERE cid = 'https://www-old.iit.cnr.it/node/30543' in /dati/webiit-old/includes/database.pgsql.inc on line 159 Warning: pg_query(): Query failed: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 in /dati/webiit-old/includes/database.pgsql.inc on line 138 Warning: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 query: SELECT data, created, headers, expire, serialized FROM cache_page WHERE cid = 'https://www-old.iit.cnr.it/node/30543' in /dati/webiit-old/includes/database.pgsql.inc on line 159 Improved Illumination Correction that Preserves Medium Sized Objects | IIT - CNR - Istituto di Informatica e Telematica
IIT Home Page CNR Home Page

Improved Illumination Correction that Preserves Medium Sized Objects

Illumination correction is a method used for removing the influence of light coming from the environment and of other distorting factors in the image capturing process. An algorithm based on the luminance mapping is proposed that can be used to remove low frequency variations in the intensity, and to increase the contrast in low contrast areas when necessary. Moreover, the algorithm can be employed to preserve the intensity of medium-sized objects with different intensity or colour than their surroundings, which otherwise would tend to be washed out. Furthermore, examples are given showing how the method can be used for both greyscale images and colour photos.


Machine GRAPHICS & VISION, 2014

Autori IIT:

Anders Hast

Foto di Anders Hast

Tipo: Articoli su riviste ISI
Area di disciplina: Information Technology and Communication Systems
Identifiers urn:nbn:se:uu:diva-240545 (URN) oai:DiVA.org:uu-240545 (OAI) diva2:776683 (DiVA)
Attività: Social and Semantic Web