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

共 50 条

[1] A Novel Fractal Image Compression Scheme with Block Classification and Sorting Based on Pearson's Correlation Coefficient
Wang, Jianji
Zheng, Nanning
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (09) : 3690 - 3702
[2] Fast Fractal Image Encoding Algorithm Based on Coefficient of Variation Feature
Li, Gao-ping
Li, Shan-shan
SMART GRAPHICS, SG 2015, 2017, 9317 : 175 - 183
[3] Image encoding selection based on Pearson correlation coefficient for time series anomaly detection
Rahadian, Helmy
Bandong, Steven
Widyotriatmo, Augie
Joelianto, Endra
ALEXANDRIA ENGINEERING JOURNAL, 2023, 82 : 304 - 322
[4] Fast Fractal Image Encoding Using an Improved Search Scheme
Zhou, Yiming
Zhang, Chao
Zhang, Zengke
Tsinghua Science and Technology, 2007, 12 (05) : 602 - 606
[5] Fast Fractal Image Encoding Using an Improved Search Scheme
周一鸣
张超
张曾科
Tsinghua Science and Technology, 2007, (05) : 602 - 606
[6] Fast Fractal Image Encoding Based on Special Image Features
Department of Automation, Tsinghua University, Beijing, 100084, China
Tsinghua Sci. Tech., 2007, 1 (58-62): : 58 - 62
[7] Fast Fractal Image Encoding Based on Special Image Features
张超
周一鸣
张曾科
Tsinghua Science and Technology, 2007, (01) : 58 - 62
[8] Fast fractal image encoding based on adaptive search
Tong, CS
Pi, MH
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (09) : 1269 - 1277
[9] A fast classification based method for fractal image encoding
Kovacs, Tamas
IMAGE AND VISION COMPUTING, 2008, 26 (08) : 1129 - 1136
[10] Fast image matching based on correlation coefficient
Department of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Beijing Ligong Daxue Xuebao, 2007, 11 (998-1000):

← 1 2 3 4 5 →