scholarly journals An Efficient And Adaptive Compression Algorithm Based On DCT Transform For GPR Raw Data

2018 ◽  
Vol 1087 ◽  
pp. 032022
Author(s):  
Peng Li ◽  
Xiaojun Liu ◽  
Guangyou Fang
2014 ◽  
Vol 926-930 ◽  
pp. 1751-1754
Author(s):  
Hong Mei Song ◽  
Hai Wei Mu ◽  
Dong Yan Zhao

A progressive transmission and decoding nearly lossless compression algorithm is proposed. The image data are grouped according to different frequencies based on DCT transform, then it uses the JPEG-LS core algorithmtexture prediction and Golomb coding on each group of data, in order to achieve progressive image transmission and decoding. Experimentation on the standard test images with this algorithm and comparing with JPEG-LS shows that the compression ratio of this algorithm is very similar to the compression ratio of JPEG-LS, and this algorithm loses a little image information but it has the ability of the progressive transmission and decoding.


2000 ◽  
Vol 16 (1) ◽  
pp. 1-36 ◽  
Author(s):  
L. Birgé ◽  
P. Massart

Author(s):  
Zeng Shangchun ◽  
Chen Yixian ◽  
Xia Ming ◽  
Xie Yunxia ◽  
Zhu Zhaoda

2018 ◽  
Vol 49 (1) ◽  
pp. 650-652 ◽  
Author(s):  
Feng Long ◽  
Yu Zhang ◽  
Zongze He ◽  
Lingyu Sun ◽  
Xiuyun Chen ◽  
...  

2014 ◽  
Vol 602-605 ◽  
pp. 3114-3118
Author(s):  
Qiang Yang ◽  
Hua Jun Wang ◽  
Xue Gang Luo

Medical image compression technology has great significance in the field of medical image engineering and clinical application. The current image compression technology is mainly for gray image, Few people study on medical image color compression algorithm. This paper presents a compression algorithm for color image based on DCT. First, the algorithm change the color medical image of RGB space to SAT space, this transformation ensures the medical image without distortion, and effectively reduce the mean image of each dimension of component. Then, the algorithm make the DCT transform for color image compression in the SAT space. Experimental shows that the improved algorithm in color medical image compression has achieved good results.


2010 ◽  
Vol 33 (3-4) ◽  
pp. 1095-1100 ◽  
Author(s):  
Songling Huang ◽  
Yun Tong ◽  
Wei Zhao ◽  
Shen Wang

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