Title :
Image Encode Method Based on IFS with Probabilities Applying in Image Retrieval
Author :
Haipeng Li ; Feng Li
Author_Institution :
Comput. Sci. & Technol. Dept., Jilin Univ., Zhuhai, China
Abstract :
Many effective methods have been proposed to solve the problem of image compression. Fractal image code can compress an image in a higher compress ratio level, the fundamental idea of fractal image compression is based on the iteration function system (IFS). In this paper, we proposed a novel method based on IFS with probabilities can be used in image compression and image retrieval, we obtain enlightenment from fractal no search methods, our method also no need to carried out searching stage when compress the image, so the consuming time with image compression is less than traditional methods. We utilized the image code as index file, and apply our method in image retrieval, experiment results indicate that our method is effective in image retrieval.
Keywords :
data compression; image coding; image retrieval; iterative methods; IFS; fractal image code; fractal image compression; image encode method; image retrieval; index file; iteration function system; Fractals; Image coding; Image retrieval; Indexes; Measurement; IFS; image compress; image retrieval;
Conference_Titel :
Intelligent Systems (GCIS), 2013 Fourth Global Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-2885-9
DOI :
10.1109/GCIS.2013.53