Title :
Fast fractal image encoding scheme based on Absolute value of Pearson correlation coefficient
Author :
Priyanka Mendhe;Rupali Balpande;Atish Khobragade
Author_Institution :
Yeshwantrao Chavan College of Engineering, an autonomous institute affiliated to Rashtrasant Tukadoji Maharaj Nagpur University, Maharashtra, India
fDate :
4/1/2015 12:00:00 AM
Abstract :
Fractal image compression is an image compression technique which is based on local similarity of image structure. Fractal image compression provides good quality of reconstructed image and high compression ratio with extra feature of fast decompression. Fractal image compression suffers from time consumption in encoding phase. This paper presents a method to reduce the complexity in coding time. The domain blocks are classified into 3 classes according to the classification method such that the of pair wise matching the of block is increased. The domain blocks are sorted in each class by Absolute Pearson Correlation Coefficient between these domain blocks and a preset block such that APCC of the domain block should be close to between the range and preset block.
Keywords :
"Image coding","Fractals","Image reconstruction","Correlation","Indexes","Correlation coefficient","Standards"
Conference_Titel :
Communications and Signal Processing (ICCSP), 2015 International Conference on
DOI :
10.1109/ICCSP.2015.7322657