DocumentCode
725230
Title
Texture analysis of various images to find self-similarities
Author
Tripathi, Shipra ; Kumar, Jeet
Author_Institution
Dept. of Comput. Applic., Shri Ramswaroop Memorial Group of Prof. Colleges, Lucknow, India
fYear
2015
fDate
19-20 March 2015
Firstpage
108
Lastpage
113
Abstract
Maximum bandwidth of the network is flooded with multimedia messages nowadays. Components of these messages are audio, video and images. Image is the basic unit of these multimedia messages. This paper analyzes textures of various types of images and finds self similarities within the image. Self similarities at various scales are discussed in the paper. These self similarities then form the basis for image compression with fractal approach.
Keywords
data compression; fractals; image coding; image texture; multimedia computing; audio; fractal approach; image compression; image self-similarities; maximum network bandwidth; multimedia messages; texture analysis; video; Computers; Fractals; Histograms; Image coding; Multimedia communication; Painting; Redundancy; fractal; image compression; self similarity; texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location
Ghaziabad
Type
conf
DOI
10.1109/ICACEA.2015.7164677
Filename
7164677
Link To Document