FPGA implementation of improved binarizer design for context-based adaptive binary arithmetic coder

Author(s):  
Nihel Neji ◽  
Maher Jridi ◽  
Ayman Alfalou ◽  
Nouri Masmoudi
1988 ◽  
Vol 32 (6) ◽  
pp. 717-726 ◽  
Author(s):  
W. B. Pennebaker ◽  
J. L. Mitchell ◽  
G. G. Langdon ◽  
R. B. Arps

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Hsi-Chin Hsin ◽  
Tze-Yun Sung ◽  
Yaw-Shih Shieh ◽  
Carlo Cattani

Image compression is necessary in various applications, especially for efficient transmission over a band-limited channel. It is thus desirable to be able to segment an image in the compressed domain directly such that the burden of decompressing computation can be avoided. Motivated by the adaptive binary arithmetic coder (MQ coder) of JPEG2000, we propose an efficient scheme to segment the feature vectors that are extracted from the code stream of an image. We modify the Compression-based Texture Merging (CTM) algorithm to alleviate the influence of overmerging problem by making use of the rate distortion information. Experimental results show that the MQ coder-based image segmentation is preferable in terms of the boundary displacement error (BDE) measure. It has the advantage of saving computational cost as the segmentation results even at low rates of bits per pixel (bpp) are satisfactory.


Author(s):  
Shiann Rong Kuang ◽  
Jer Min Jou ◽  
Ren Der Chen ◽  
Yeu Horng Shiau

2013 ◽  
Vol 7 (6) ◽  
pp. 1053-1061 ◽  
Author(s):  
Evgeny Belyaev ◽  
Andrey Turlikov ◽  
Karen Egiazarian ◽  
Moncef Gabbouj

2016 ◽  
Vol 25 (3) ◽  
pp. 1260-1260
Author(s):  
Quanhe Yu ◽  
Wei Yu ◽  
Ping Yang ◽  
Jianhua Zheng ◽  
Xiaozhen Zheng ◽  
...  

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