Fast Fractal Image Encoding scheme based On Absolute Value of Pearson Correlation Coefficient

被引：0

作者：

Mendhe, Priyanka ^{[1
]}

Balpande, Rupali ^{[2
]}

Khobragade, Atish ^{[3
]}

机构：

[1] Rashtrasant Tukadoji Maharaj Nagpur Univ, Yeshwantrao Chavan Coll Engn, Elect Engn, Nagpur, Maharashtra, India

[2] Rashtrasant Tukadoji Maharaj Nagpur Univ, Yeshwantrao Chavan Coll Engn, Dept Elect Engn, Nagpur, Maharashtra, India

[3] Rashtrasant Tukadoji Maharaj Nagpur Univ, Rajiv Gandhi Coll Engn, Dept Elect Engn, Nagpur, Maharashtra, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) | 2015年

关键词：

Absolute Pearson correlation coefficient (APCC); classification of blocks; fractal image compression (FIC);

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1036 / 1040

页数：5

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