Color Image Compression Using Fast VQ with DCT Based Block Indexing Method

被引：0
作者：
George, Loay E. [1 ]
Kadim, Azhar M. [2 ]
机构：
[1] Univ Baghdad, Dept Comp Sci, Baghdad, Iraq
[2] Al Nahrain Univ, Dept Comp Sci, Baghdad, Iraq
来源：
IMAGE ANALYSIS AND RECOGNITION: 8TH INTERNATIONAL CONFERENCE, ICIAR 2011, PT II: 8TH INTERNATIONAL CONFERENCE, ICIAR 2011 | 2011年 / 6754卷
关键词：
Image Compression; DCT; Fractal Image Compression; IFS; Isometric Processes;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a Vector Quantization compression scheme based on block indexing is proposed to compress true color images. This scheme uses affine transform to represent the blocks of the image in terms of the blocks of the code book. In this work a template image rich with high contrast areas is used as a codebook to approximately represent the blocks of the compressed image. A time reduction was achieved due to the usage of block descriptors to index the images blocks, these block descriptors are derived from the discrete cosine transform (DCT) coefficients. The DCT bases descriptor is affine transform invariant. This descriptor is used to filter out the domain blocks, and make matching only with similar indexed blocks. This introduced method led to time (1.13sec), PSNR (30.09), MSE (63.6) and compression ratio (7.31) for Lena image (256x256, 24bits).
引用
收藏
页码：253 / 263
页数：11
相关论文
共 50 条
[21]   Color Image Compression Based on Block Truncation Coding Using Clifford Algebra [J].
Sau, Kartik ;
Basak, Ratan Kumar ;
Chanda, Amitabha .
INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 1, 2015, 339 :675-684
[22]   Preprocessing method for DCT-Based image-compression [J].
Oizumi, Munenori .
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2006, 52 (03) :1021-1026
[23]   A Quality Improving Scheme for VQ Decompressed Image Based on DCT [J].
Chou, Yung-Chen ;
Chen, Shu-Huan ;
Hou, Min-Rui .
GENETIC AND EVOLUTIONARY COMPUTING, 2015, 329 :197-206
[24]   Prediction of signs of DCT coefficients in block-based lossy image compression [J].
Ponomarenko, Nikolay N. ;
Bazhyna, Andriy V. ;
Egiazarian, Karen O. .
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS V, 2007, 6497
[25]   Color Image Compression Using Block Singular Value Decomposition [J].
Xu, Peng-fei ;
Zhang, Hong-bin ;
Wang, Xin-feng ;
Yu, Zheng-yong .
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 :2122-2125
[26]   Fast approximate DCT with GPU implementation for image compression [J].
Haweel, Reem T. ;
El-Kilani, Wail S. ;
Ramadan, Hassan H. .
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2016, 40 :357-365
[27]   Approximate DCT Image Compression Using Inexact Computing [J].
Almurib, Haider A. F. ;
Kumar, Thulasiraman Nandha ;
Lombardi, Fabrizio .
IEEE TRANSACTIONS ON COMPUTERS, 2018, 67 (02) :149-159
[28]   A Hybrid SVD-DWT-DCT based Method for Image Compression and Quality Measurement of the Compressed Image [J].
Afrose, Sharmin ;
Jahan, Sabrin ;
Chowdhury, Anuva .
2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION COMMUNICATION TECHNOLOGY (ICEEICT 2015), 2015,
[29]   Hyperspectral image compression using SPIHT based on DCT and DWT [J].
Wei, Haiping ;
Zhao, Baojun ;
He, Peikun .
MIPPR 2007: MULTISPECTRAL IMAGE PROCESSING, 2007, 6787
[30]   Color image compression using DKT-DCT hybrid wavelet transform in various color spaces [J].
Kekre, H.B. ;
Sarode, Tanuja ;
Natu, Prachi .
International Journal of Signal Processing, Image Processing and Pattern Recognition, 2014, 7 (05) :105-124
12345