Color image compression scheme based upon human vision properties

2002 ◽  
Author(s):  
O. Laligant ◽  
B. Joanne ◽  
F. Truchetet
Keyword(s):  
Image Compression ◽  
Color Image ◽  
Human Vision ◽  
Compression Scheme ◽  
Color Image Compression

Color Image Compression Using Block Singular Value Decomposition

2013 ◽  
Vol 303-306 ◽  
pp. 2122-2125
Author(s):  
Peng Fei Xu ◽  
Hong Bin Zhang ◽  
Xin Feng Wang ◽  
Zheng Yong Yu
Keyword(s):  
Singular Value Decomposition ◽  
Image Compression ◽  
Basic Principle ◽  
Color Image ◽  
Singular Value ◽  
Matrix Structure ◽  
Compression Scheme ◽  
The Matrix ◽  
Value Decomposition ◽  
Color Image Compression

This paper looks at the application of Singular Value Decomposition (SVD) to color image compression. Based on the basic principle and characteristics of SVD, combined with the image of the matrix structure. A block SVD-based image compression scheme is demonstrated and the usage feasibility of Block SVD-based image compression is proved.

A color image compression scheme based on the adaptive orthogonalized transform: Accelerated by product code technique

2005 ◽  
Vol 36 (5) ◽  
pp. 23-32
Author(s):  
Takashi Miura ◽  
Shinobu Kumaoka ◽  
Kenta Matsumoto ◽  
Takamitsu Simomura
Keyword(s):  
Image Compression ◽  
Color Image ◽  
Compression Scheme ◽  
Product Code ◽  
Code Technique ◽  
Color Image Compression

scholarly journals Color image compression based on spatial and magnitude signal decomposition

2021 ◽  
Vol 11 (5) ◽  
pp. 4069
Author(s):  
Bushra A. Sultan ◽  
Loay E. George
Keyword(s):  
Image Compression ◽  
Color Image ◽  
Signal Decomposition ◽  
Coding System ◽  
Pulse Code Modulation ◽  
Compression Scheme ◽  
Compression System ◽  
Code Modulation ◽  
Pixel Value ◽  
Color Image Compression

<p>In this paper, a simple color image compression system has been proposed using image signal decomposition. Where, the RGB image color band is converted to the less correlated YUV color model and the pixel value (magnitude) in each band is decomposed into 2-values; most and least significant. According to the importance of the most significant value (MSV) that influenced by any simply modification happened, an adaptive lossless image compression system is proposed using bit plane (BP) slicing, delta pulse code modulation (Delta PCM), adaptive quadtree (QT) partitioning followed by an adaptive shift encoder. On the other hand, a lossy compression system is introduced to handle the least significant value (LSV), it is based on an adaptive, error bounded coding system, and it uses the DCT compression scheme. The performance of the developed compression system was analyzed and compared with those attained from the universal standard JPEG, and the results of applying the proposed system indicated its performance is comparable or better than that of the JPEG standards.</p>

A color image compression scheme based on the adaptive orthogonalized transform?Accelerated by sorted dictionary

2003 ◽  
Vol 34 (11) ◽  
pp. 10-19
Author(s):  
Takashi Miura ◽  
Fumihiko Itagaki ◽  
Akihiko Yokoyama ◽  
Momoe Yamaguchi
Keyword(s):  
Image Compression ◽  
Color Image ◽  
Compression Scheme ◽  
Color Image Compression
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