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
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;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164677
