A new technique for color reduction is presented, based on the analysis of the histograms of an image at different resolutions. Given an input image, lower resolution images are generated by using a scaling down interpolation method. Then, peaks and pits that are present in the histograms at all resolutions and dominate in the histogram of the input image at full resolution are taken into account to simplify the structure of the histogram of the image at full resolution. The so modified histogram is used to define a reduced colormap. New colors possibly created by the process are changed into the original colors closer to them.

Multiresolution histogram analysis for color reduction

Ramella G;Sanniti di Baja G
2010

Abstract

A new technique for color reduction is presented, based on the analysis of the histograms of an image at different resolutions. Given an input image, lower resolution images are generated by using a scaling down interpolation method. Then, peaks and pits that are present in the histograms at all resolutions and dominate in the histogram of the input image at full resolution are taken into account to simplify the structure of the histogram of the image at full resolution. The so modified histogram is used to define a reduced colormap. New colors possibly created by the process are changed into the original colors closer to them.
2010
Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello" - ISASI
Inglese
Bloch I; Cesar-Jr MR
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
22
29
8
978-3-642-16686-0
http://www.springerlink.com/content/awk770033m6vx05m/
Springer-Verlag
Berlin Heidelberg
GERMANIA
Sì, ma tipo non specificato
CIARP 2010 - 15th Iberoamerican Congress on Pattern Recognition
2
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Ramella G ; Sanniti di Baja G.
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/131377
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