DocumentCode
2019673
Title
Color & grayscale image representation using multivector
Author
Roy, Somasis ; Mitra, Anirban ; Setua, Sanjit Kumar
Author_Institution
Dept. of Comput. Sci., Univ. of Calcutta, Kolkata, India
fYear
2015
fDate
7-8 Feb. 2015
Firstpage
1
Lastpage
6
Abstract
Clifford Algebra (CA) and its significance in a color image representation is discussed in this paper. Multivector in 3D space explains the representation of color & grayscale image following RGB color model. The colors are defined by the color blades in multivector. Gray value of a pixel is determined by grayscale vector in multivector form. Rotor operators are applied on different shades of color to obtain a new shade. Every color used in an image is mapped in Clifford color space. The gray values are also closed in it for respective color. The multivector function representing the image follows this color space. It stores an image either in form of color or gray value. The reduction of computational time for image processing is another concern of this paper. The color blade or grayscale vector represents itself as grade-k vector.
Keywords
image colour analysis; image representation; vectors; Clifford algebra; Clifford color space; RGB color model; color blade; color image representation; grade-k vector; grayscale image representation; grayscale vector; image processing; multivector function; rotor operators; Color; Computational modeling; Gray-scale; Image color analysis; Image representation; Vectors; Clifford Algebra; Clifford color space; Color blade; Color vector; Grade; Grayscale; Grayscale vector; Multivector; Wedge;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference on
Conference_Location
Hooghly
Print_ISBN
978-1-4799-4446-0
Type
conf
DOI
10.1109/C3IT.2015.7060218
Filename
7060218
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